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Johnson & JohnsonSan Diego, CA
$193,000 - $333,500 / year
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health - Neurodegeneration. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25% domestic and international travel. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . Role Summary We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for neurodegenerative diseases. This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact. You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with neurodegenerative disorders. Key Responsibilities Define and execute the data science and digital health strategy for neurodegeneration, integrating computational biology, AI/ML, digital health, and clinical/RWE insights. Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets. Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways. Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery. Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment. Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven neuroscience. Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational neuroscientists to deliver on strategic initiatives. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required. 7+ years of experience as a people manager is required. Experience in clinical development with demonstrated expertise in neurodegeneration preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required. Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification. Track record of scientific contributions (presentations and publications) in this field is required. Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required. Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus. Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required. This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid
Posted 30+ days ago
GSK, Plc.Cambridge, MA
$121,275 - $202,125 / year
Site Name: USA - Massachusetts - Cambridge Posted Date: Nov 15 2025 GSK is seeking an exceptional and visionary scientist to join the Oligo Design and Data Science group as a Senior Principal Scientist. This pivotal role is at the heart of our strategy to accelerate drug discovery by leveraging massive-scale screening data and machine learning. You will be responsible for architecting and implementing the next generation of our DNA Encoded platforms informatics. As a senior member of the team, you will play a critical role in driving our data strategy and shaping the future of hit-finding at GSK. In this position, you will lead the design and development of critical software infrastructure, from automated ETL pipelines that process terabyte-scale sequencing data to sophisticated web applications and interactive dashboards that enable data-driven decision-making. Your expertise will be instrumental in developing and applying novel statistical methods for analyzing selection data from both small molecule and oligonucleotide libraries, building robust machine learning models to predict structure-activity relationships, and exploring deep learning approaches for hit identification. You will work in a deeply collaborative, cross-functional environment alongside experts in oligo therapeutic design, chemistry, biology, and biophysics to translate complex data into actionable hypotheses that guide our therapeutic discovery programs. The ideal candidate will possess a PhD in computational science and a proven history of building scientific computing platforms from the ground up in a drug discovery setting. Deep expertise in cheminformatics, DNA Encoded Library (DEL) data analysis, and the development of scientific applications using Python (e.g., pandas, scikit-learn, Django), SQL, and modern cloud infrastructure is essential. We are looking for a strategic thinker and a hands-on builder who is passionate about leveraging computation to solve challenging biological problems and is excited by the opportunity to have a significant impact on the future of data-driven drug discovery at GSK. Key Responsibilities: Drive data science initiatives to support informed decision-making in active early-stage small molecule and oligonucleotide discovery projects. Collaborate with laboratory scientists to build data infrastructure, develop decision-making heuristics, and implement tracking systems for early discovery oligonucleotide and DEL projects, supporting workflows from initial screening through candidate selection. Collaborate closely with research tech and AI/ML teams to architect, develop, and optimize predictive informatics platforms that enable scalable data integration, advanced statistical analytics, and actionable insights for therapeutic discovery. Why You? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: PhD in computational science, bioinformatics, cheminformatics, computer science, or a closely related discipline. Experience in cheminformatics and DNA-encoded library (DEL) data analysis, including the application of advanced statistical and computational methods to large-scale biological datasets. Experience developing scientific applications using Python (such as pandas, scikit-learn, Django), SQL, and deploying solutions on modern cloud infrastructure. On-site presence of 2-3 days per week, as required for team collaboration and project delivery. Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience leading platform development initiatives that integrate research technology, artificial intelligence, and machine learning for scalable data analysis and informatics solutions. Significant contributions to open-source scientific software projects or recognized achievement in computational life science competitions (e.g., Kaggle, TopCoder, DREAM Challenge). Expertise in the design and optimization of automated ETL pipelines for processing terabyte-scale sequencing or screening data. Advanced knowledge of predictive modeling, Bayesian statistics, and deep learning approaches for hit identification and structure-activity relationship prediction. Demonstrated success in cross-functional communication, matrixed collaboration, and thought leadership within multidisciplinary teams. Strong analytical and problem-solving skills, with a track record of translating complex biological questions into actionable computational solutions. Ability to work collaboratively in cross-functional teams, communicating effectively with experts in chemistry, biology, biophysics, and data science. Experience with analysis of siRNA knockdown screens or CRISPR knockout libraries. The US annual base salary for new hires in this position ranges from $121,275 to $202,125 The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
Posted 4 weeks ago
Chord EnergyHouston, TX
Job Title: Data Science Supervisor Position Summary The Chord Energy Data Science Supervisor is a working manager that will lead a small team of data scientists/ML engineers while staying hands-on building models yourself. The team develops, deploys, and monitors machine-learning solutions for subsurface (geology, geophysics, reservoir), operations (production, D&C, reliability), and back-office (supply chain, HSE, finance) use cases that drive measurable business value. This role presents an exciting opportunity for a seasoned data science supervisor to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. This position is located in downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience. Essential Job Functions The primary responsibility involves leading a small team and prioritizing and manage the data-science backlog; translate business objectives into model roadmaps and delivery plans across subsurface, operational, and enterprise domains. Lead the full model lifecycle-problem framing, experiment design, feature engineering, training/validation, deployment, and post-production monitoring-with strong MLOps practices. Be hands-on: write Python/SQL, build and review notebooks/pipelines, perform code reviews, and mentor the team on statistical rigor and software engineering. Maintain and evolve the team toolset (Azure ML, OpenAI/Azure AI Foundry, Snowflake/feature store, MLflow), ensuring reliability, security, cost control, and access governance. Minimum Qualifications Bachelor's degree in a quantitative field 7+ years in data science/ML (including time-series, geospatial, and predictive modeling) Proficiency in Python (pandas, scikit-learn) and SQL; experience with Azure ML/MLflow and deploying models to production. Domain familiarity with upstream oil & gas workflows (subsurface and operations) and the ability to translate expert knowledge into features and experiments. Strong coaching, prioritization, and stakeholder-management skills; able to convert business problems into robust, scalable model solutions and communicate outcomes clearly. Strong interpersonal and collaborative skills Demonstrated ability to work in a team-oriented environment Excellent presentation skills Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company Ability to meet deadlines Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Preferred Qualifications Master's degree or PHD or certification in Data Science or Data Analytics Familiarity with additional programming languages (SQL, R, C++, etc.) Previous Oil and Gas operator experience Exposure to Petroleum Engineering and Geoscience workflows Exposure to the energy sector, particularly unconventional exploitation programs This role presents an exciting opportunity for a Data Science Supervisor to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. EEO Statement: Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Posted 30+ days ago
Twosix TechnologiesHerndon, VA
$130,200 - $244,500 / year
At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future. Overview of Opportunity Two Six is looking for a highly skilled Cloud Engineer with a strong focus on enabling data science solutions for partner applications. In this role, you will architect, build, and maintain cloud infrastructure to support data scientists and analysts that rely on scalable, secure, and performant solutions. This position requires expertise in cloud infrastructure as well as extensive knowledge in data platforms. What you will do Design, build, and maintain scalable AWS infrastructure for data science and analytics workflows Support CI/CD pipelines and automated deployment processes to include writing and maintaining automation scripts Support and optimize AWS services Collaborate with data scientists and engineers to ensure the infrastructure supports production models Collaborate with cloud engineers and our DevOps team to maintain secure and scalable cloud infrastructure Develop infrastructure-as-code (IaC) using tools like Terraform and CloudFormation What you will need: Bachelor's degree in computer science or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience 10+ years of experience in cloud engineering Experience in data science tools and methodologies Hands-on experience with AWS cloud provider Experience with DevOps tools and utilities to include Github, Ansible & CDK Ability to work effectively in a Linux-based development environment Excellent problem-solving skills, with the ability to work effectively in a team environment Familiarity with containers and orchestration (e.g., Docker, Kubernetes) Proficient in at least one scripting language Strong understanding of cloud security Nice to haves: Understanding of data lake and data warehouse architecture Experience deploying and managing ML models as well as the ML lifecycle Hands-on experience with multiple cloud providers such as [AWS, Azure, or GCP] Familiarity with CI/CD pipelines and automation tools In-depth knowledge of sever less architectures Hands on experience with python Knowledge of containerization Security Clearance: Active TS/SCI with Polygraph #LI-JS #LI-JB1 Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development. The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements. Salary Range $130,200-$244,500 USD Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company's current openings! Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our Two Six Technologies News page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone. Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations. Additionally, please be advised that this business uses E-Verify in its hiring practices. By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.
Posted 30+ days ago
Johnson & JohnsonRaritan, NJ
$173,000 - $299,000 / year
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Director, Head of Hematology R&D Data Science & Digital Health. This position has a primary location of Spring House, PA but is also open to Cambridge, MA; Titusville; NJ, Raritan, NJ; or New Brunswick, NJ. The position requires 25% travel. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine This role will direct and lead efforts to deliver innovative end-to-end Data Science & Digital Solutions to the Oncology Hematology portfolio. This will include both early and late stage pipeline assets. This person will lead a team aimed at supporting the Clinical Development Teams (CDTs) with the full spectrum of Data Science capabilities, such as novel endpoints, real-world evidence, and digital diagnostics using AI/ML and other appropriate methods. This role will lead clinical-stage therapies such as Darzalex, Tecvayli and Talvey. Additional responsibilities include capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine- R&D Oncology. You will be a thought leader within Janssen R&D in the field of applied use of innovative methodologies in clinical trials. The Applicant will: Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial lifecycle. Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI). Actively manage a team to communicate Data Science plans for Compound Development Teams. This will include seeking and managing feedback with internal and external stakeholders and developing fit-for-purpose studies serving CDT objectives. Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research. Identify and procure data sets and technologies for bespoke applications. Manage external partnerships. Work with clinical and internal Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies. The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implications of Data Science research. Qualifications: Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design. A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area. 8+ years of health-care related research, such as disease/clinical phenotyping, outcomes research, clinical genomics Strong working knowledge of drug development, with established expertise with one or more components of drug development, such as translational research, clinical studies, or regulatory interactions. Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims Capacity to manage timelines and drive key deliverables in a matrix environment. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals Prior experience working and driving external partnerships, either corporate or academic Ability to effectively communicate technical work to a wide audience. Team leadership either preferably as a line function leader or in some cases leader in a matrix environment Preferred: Experience with digital heath outcome solutions for Oncology therapies. Prior experience serving on multifunctional teams delivering clinical trials in an R&D or Medical Affairs setting. Proficiency with regulatory submissions and interaction. Experience with novel, innovative approaches to drug development, such as Generative AI.s Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:
Posted 1 week ago
VaroAtlanta, GA
$250,000 - $300,000 / year
Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Posted 2 weeks ago
Southwest Business CorporationSan Antonio, TX
SWBC is seeking a talented individual to drive transformation through AI, advanced analytics, and cloud-based platforms. The successful candidate will play a pivotal role in shaping and executing data strategies that support business modernization, innovation, and operational excellence. Why you'll love this role: At SWBC, you'll be part of a forward-thinking team that's redefining how data drives business success. As AVP, Data Scientist, you'll lead transformative initiatives using AI, advanced analytics, and cloud technologies to shape the future of our organization. You'll thrive in a collaborative, innovation-driven environment that values your expertise and empowers you to make a real impact. With access to professional development, internal mobility, and a culture that champions creativity and inclusion, this is more than a job, it's a career with purpose. Essential duties include the following: Conduct advanced data analysis and develop predictive models to inform strategic decisions. Design and implement AI-driven solutions to enhance analytics and automation. Leverage Snowflake for scalable data warehousing and analytics. Architect and manage a centralized data hub to ensure data consistency and accessibility across the enterprise. Develop and enforce data governance frameworks to maintain data integrity, security, and compliance. Collaborate with cross-functional leaders to align data initiatives with business goals. Lead end-to-end delivery of data solutions, ensuring alignment with timelines and business requirements. Champion initiatives that modernize data infrastructure and enable digital transformation. Promote a culture of continuous improvement and exploration of emerging technologies. Utilize AWS intelligent platform services to build and deploy robust, scalable data solutions. Serious candidates will possess the minimum qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Information Technology, or a related field is required. Minimum of ten (10) years in data science, with demonstrated expertise in AI, Snowflake, Unified Data Hub, and Data Governance. Certifications in one or more of the following is preferred; AWS Certified Data Analytics - Specialty, Certified Data Management Professional (CDMP), Snowflake SnowPro Core Certification, AI/ML certifications (e.g., TensorFlow Developer Certificate). Experience with Python, R, SQL, Java, Scala is required. Deep understanding of data science methodologies and best practices Proficiency in AI technologies and cloud platforms Strong business acumen and communication skills Proven leadership in technology delivery and project execution Experience with AWS services and data architecture SWBC offers*: Competitive overall compensation package Work/Life balance Employee engagement activities and recognition awards Years of Service awards Career enhancement and growth opportunities Leadership Academy and Mentor Program Continuing education and career certifications Variety of healthcare coverage options Traditional and Roth 401(k) retirement plans Lucrative Wellness Program Based upon employee eligibility Additional Information: SWBC is a Substance-Free Workplace and requires pre-employment drug testing. Please note, SWBC does not hire tobacco users as allowed by law. To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.
Posted 30+ days ago
Nova Credit Inc.New York, NY
$163,200 - $198,900 / year
Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly through alternative credit data. As a Consumer Reporting Agency (CRA), Nova Credit leverages its unique data infrastructure, compliance framework, and credit expertise to help lenders fill critical gaps in traditional credit analytics. The company transforms the fragmented universe of consumer financial data into compliant, actionable risk insights through a comprehensive platform designed to increase conversion through expanded coverage, speed, and reliability. Leading organizations, including JPMorgan Chase, PayPal, HSBC, SoFi, Scotiabank, AppFolio, and Yardi, work with Nova Credit to make smarter credit decisions through cash flow underwriting with Cash Atlas, quickly verify income with Income Navigator, and reach new-to-country consumers with Credit Passport. With support from investors Canapi Ventures, Kleiner Perkins, General Catalyst, and Index Ventures, as well as industry veterans from Goldman Sachs, JP Morgan, and Citi, Nova Credit is revolutionizing the way lending is done. We were recently named in Forbes' Fintech 50 in 2025 and Built In's Best Places to Work, 2025. Nova Credit offers a dynamic and inclusive work environment where you can meaningfully impact the lives of people historically excluded from the credit system. We value diversity, intellectual honesty, and innovation and are committed to supporting our team members' professional growth and development. If you're passionate about leveraging technology to drive financial inclusion, we want to hear from you! You will be part of the Go-To-Market team, playing an essential role in engaging and educating our prospects through the sales process. You will serve as a consultative product expert who helps potential clients unlock business value by engaging senior stakeholders on credit policy, product usage, and performance analyses. Internally, you will be well-connected, working cross-functionally with Sales, Product, and Data Science. You will engage with our worldwide target audience in the US, Canada, the UK, the UAE, and Singapore. You should be experienced in financial services with both the credit risk modeling and credit policy landscapes. Ultimately, the Senior Manager, Data Science Consulting will ensure that Nova Credit's prospect base fully understands our product offerings and how best to incorporate them within their existing strategies. This is a full-time, NYC-preferred position. Travel to Nova Credit offices (New York and San Francisco), prospect sites, and conferences required up to 25% of time. Work hours flexibility is necessary, given the global scope of this role. NYC-based candidates will be required to be in our Flatiron office (3 days per week on Mondays, Tuesdays, and Thursdays). WITHIN THE FIRST MONTH, YOU'LL Establish a deep understanding of Nova Credit's products, strategies, and data Partner with the Sales team to understand our prospect engagement models Shadow your first external meetings WITHIN THE FIRST QUARTER, YOU'LL Partner with Account Executives to own meetings, providing education and analyses to prospects Collaborate and influence with prospect teams to shape their testing and KPIs, maximizing the value of our data in their lending and decision frameworks Influence product strategy based on feedback from the market and your own experiences WITHIN THE FIRST YEAR, YOU'LL Scale the consulting function via the creation of processes and content Shape the trajectory of Nova Credit by working cross-functionally with Sales and Data Science to prioritize road map activities Drive revenue for Nova Credit and our customers by influencing stakeholder teams and policies YOUR SKILLSET 5+ years of experience in financial services or credit with a focus on credit policy or data science 2+ years experience in externally-facing pre- or post-sales consulting roles Strong analytical skills with experience using tools like SQL and Tableau for data visualization and insights Deep knowledge of credit bureau data, ideally with alternative data experience Relevant masters or MBA preferred Intellectual curiosity, drive, flexibility, and coachability will be critical to adapt to prospect needs, business models, and sophistication levels spanning business sizes, verticals, and the globe $163,200-$198,900 per year The above compensation range is for US-based candidates and is dependent on individual experience, skills, education, location, and qualifications. We consider all elements of compensation to be a part of the value we provide to Novans. This may include base salary, equity grants, incentive compensation for eligible roles, professional development, flexible PTO, and tenure rewards. In the U.S., our benefits package includes comprehensive and generously subsidized medical, dental, and vision insurance options, along with a company-sponsored 401k plan, parental leave of absence, sick time off, and paid time off vacation. Everyone is welcome at Nova Credit. We are an equal-opportunity employer where diversity and inclusion are central pillars of our company strategy. We seek applicants who understand, embrace, and thrive in a multicultural and globalized world. We do not discriminate on the basis of any protected class, including race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We do not consider criminal history until a conditional offer of employment has been made. We encourage all qualified candidates, including those with a criminal history, to apply. Requirement: Any use of AI or automated tools in completing this application must be disclosed by starting each AI-generated response with 'Generated with AI assistance:' Before submitting your application, please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information during the application process.
Posted 30+ days ago
QBE Insurance Group LimitedSun Prairie, WI
$18 - $27 / hour
Primary Details Time Type: Full time Worker Type: Employee Title: Data Science and Machine Learning Engineering Intern (Summer 2026) The Opportunity: At QBE, we believe machine learning and AI can transform the insurance industry - making it smarter, faster, and more human. Our Data Science and Machine Learning Engineering team builds real-world solutions that support Pricing, Underwriting and Claims, driving innovation and impact across the business. We value curiosity, clarity, craftsmanship, and collaboration - and we're looking for team members who share these values. As an intern, you'll contribute to building and deploying ML and AI systems that solve practical business problems. This role is ideal for someone eager to apply technical skills, learn from experienced peers, and grow in a fast-paced, supportive environment. Location: Sun Prairie, Wisconsin Work Arrangement: This role is hybrid, where you will be expected to be in the office 4 days per week at our Sun Prairie, WI office The salary range for this role is between $18-$27.00 an hour Your new role Use data to uncover insights that improve underwriting and operations. Build and evaluate models, explore new features, and collaborate with teams to deliver measurable impact. Contribute to the development and maintenance of deployment pipelines, ensuring models are robust, reproducible, and scalable. Write clean, efficient, and well-documented Python code using libraries such as pandas, numpy, pydantic, and FastAPI. Learn and apply modern ML tools and frameworks such as Transformers and MLflow. Stay curious - ask questions, seek feedback, and continuously improve your skills. Required Qualifications Current enrollment in a Bachelor's in Computer Science, Engineering, Mathematics, Data Science, or a related field. Working knowledge of Python; ability to quickly learn new Python packages and programming concepts. Preferred Competencies/Skills Proficiency in Python and familiarity with core data science libraries (e.g., pandas, numpy, scikit-learn). Exposure to cloud platforms (especially Azure) and containerization tools like Docker. Understanding of MLOps concepts such as Git, CI/CD, and model lifecycle management. Familiarity with model validation and monitoring practices. Strong communication skills and a collaborative mindset. Eagerness to learn and grow - technically and professionally. Why QBE? What if you could have a positive impact - at work and in the world? At QBE, we're enabling a more resilient future - for our customers, communities, environment, and for our people. We're building momentum to achieve something significant and know our people are at the center of our success. Our industry offers interesting and varied careers where you can help people to protect what matters most. As part of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. And our international scale means we're big enough for your ambitions, yet small enough for you to make a real impact. Join us now, so you can be part of our success - and we can be part of yours! https://www.linkedin.com/company/qbe-north-america/ QBE is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with QBE, please inform our Talent Acquisition team to let us know the nature of your accommodation request and your contact information. Equal Employment Opportunity: QBE provides equal employment opportunities to applicants and employees without regard to race; color; gender; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; protected veteran status; or disability or any other legally protected status. This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis without the need for current or future sponsorship. Supplementary information Skills: Collaboration Tools, Communication, Critical Thinking, Data Entry, Document Management, Email Management, Financial Products, Hands-On Learning, Intentional collaboration, Managing performance, Microsoft Applications, Report Writing, Research Analysis, Self Motivation, Time Management How to Apply: To submit your application, click "Apply" and follow the step by step process. Equal Employment Opportunity: QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Posted 30+ days ago
DraftKingsLas Vegas, NV
$120,800 - $151,000 / year
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you'll do as a Senior Data Scientist, Football Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team. What you'll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Posted 30+ days ago
SofiFrisco, TX
$217,600 - $374,000 / year
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: Vision & Impact SoFi is seeking an inspirational and deeply experienced Senior Director to lead and define the strategic direction of our Risk Data Science function. Reporting to the Chief Credit Officer, this executive role will lead the development, deployment, and governance of credit decisioning models - from underwriting and portfolio management to loss mitigation. The ideal candidate is a hands-on leader and a visionary who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve underwriting performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence executive stakeholders, and proven success in delivering complex models into a regulated production environment. What You'll Do (Key Responsibilities) Strategic Leadership & Vision: Define and Champion Strategy: Develop and articulate the 1-3 year roadmap for Risk Data Science, aligning all priorities with the broader Credit Risk and Business Unit objectives. Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply. Talent and Team Development: Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture. Execution & Delivery: Underwriting Excellence: Directly oversee the development and deployment of Next Generation Underwriting models designed to increase origination while maintaining loss guardrails. Loss Mitigation & Collections: Drive the successful build-out and implementation of new Collection and Entry Rate Models to optimize outreach strategies and reduce losses. Loss Forecasting & Compliance: Lead the development of Loss Forecasting and CECL models, ensuring they align with industry practices and meet all regulatory requirements for the firm's balance sheet and reserve calculations. Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products. Governance, Compliance, and Cross-Functional Influence: Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory). Stakeholder Alignment: Interact and negotiate with senior management, executives (CCO, CFO, Product Leads), and external stakeholders to reconcile competing views and drive critical, high-impact business decisions. Automation and Efficiency: Lead efforts to automate model monitoring and governance processes (ModelOps) to create scalable and auditable infrastructure. What You'll Need Experience: 12+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 7 years in a senior leadership/management role (managing managers and/or technical leads). Education: Master's or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.). Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference). Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment. Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS). Communication: Exceptional executive presence and the ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership. Why You'll Love It Here You will have the autonomy to build the future of risk modeling at a high-growth, innovative financial technology company. Your contributions will directly impact the financial health of millions of members. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $217,600.00 - $374,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
Posted 30+ days ago
Government Technology AgencyNon, OK
[What the role is] The Government Technology Agency (GovTech) is the lead agency driving Singapore's Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government's capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions. GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore's vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] At Ministry of Trade & Industry (MTI), we are always on the lookout for high performing individuals who share our aspiration of making Singapore a conducive environment for entrepreneurs and enterprises to tap its diverse opportunities. As a Data Science Manager (Assistant Director / Staff Data Scientist), you will drive the productisation and operationalisation of AI models and applications used across the ministry, our departments and statutory boards. You will lead technical implementation, system integration, and performance engineering - while strengthening our internal AI platform and tooling. Our Team You will be part of the Ministry Family CIO Office (MFCO), which leads MTI's digital product development, innovation, and platform strategy. MFCO works closely with policy and corporate divisions to design and deliver meaningful, scalable digital solutions across the ministry. This role focuses on leading the evaluation, development/ configuration and optimisation of generative AI and LLM solutions for policy making, knowledge management, employee productivity, Government-to-Business (G2B) service delivery, and developing the infrastructure needed to deploy them safely and effectively. You will also contribute to MTI's AI strategy, portfolio and uplifting our functional capabilities and the competencies of MTI officers so that they are confident in using AI in their everyday work. Roles & Responsibilities: AI Strategy and Portfolio Work closely with Strategy & Planning teams to define and maintain the AI strategy for MTI and the Ministry Family, ensuring the plan is technically feasible. Work closely with stakeholders and product managers to manage the AI portfolio and supporting strategies for structured and unstructured data. Create long-term technical plans and roadmap for the AI portfolio. Update it regularly to meet future business needs and infrastructure requirements. AI Productisation and System Integration Lead data scientists/ engineers to develop prototypes which address business problems and promote them into production-ready solutions. Design and deploy scalable AI pipelines that support the real-time integration of LLMs and ML models into internal and external digital platforms. Ensure systems are robust, maintainable, and tuned for performance, latency, and cost-effectiveness. AI Infrastructure and Optimisation Establish the AI technology stack for MTI and the Ministry Family ensuring alignment with central services and local infrastructure. Lead efforts to optimise models for inference speed, memory usage, and production readiness. Oversee the benchmarking and evaluation of AI solutions, models and frameworks. Engineering Culture and Tooling Establish best practices in model deployment, testing, and observability. Contribute to reusable components, libraries, and infrastructure that support other AI and product teams. Mentor engineers on best practices for AI evaluation, model reliability, and technical excellence. [What we are looking for] Engineering Leadership- Lead implementation across model deployment, observability, and infrastructure design with a focus on reliability and performance. Performance and Optimisation- Improve model inference speed and cost efficiency while ensuring high-quality outputs. Infrastructure Tooling- Build infrastructure to support the strategy of MTI and drive synergies out of the diverse needs and maturity in the Ministry Family. Collaboration and Execution- Work closely with business owners, product managers, data scientists/ engineers and data teams to deliver real-world, production-ready solutions. Required Qualifications and Experience Right candidate must be technically hands on and experience in all parts of the technology stack: client side, back end, infrastructure, performance, data, and others. Worked on the full stack development and built end-to-end systems in a digital product environment including user interfaces, APIs, backend systems, and database systems. Very well versed in the software development using Agile, modular design, pair programming, software automation, continuous integration, continuous delivery, and infrastructure automation. Experience building and deploying ML models in production environments (e.g. REST/gRPC endpoints, containerised models, model serving platforms). Proficiency in Python and experience with ML/AI frameworks. Experience with evaluation frameworks, CI/CD pipelines, and monitoring stacks. Strong systems thinking and performance engineering mindset. Familiarity with techniques for safe deployment, evaluation metrics, model guardrails, and A/B testing in ML systems. Have a strong sense of what it means to be a technical leader, particularly as it relates to the suite of soft skills beyond just your technical chops. Passion towards engineering excellence; you deeply understand that software engineering is a team sport, and you take pride in the craftsmanship aspect of software engineering. The ability to guide a team to achieve important goals together. Minimally 5+ year of development experience in machine learning engineering, or AI infrastructure roles; and 2+ years of experience coaching developers, helping them enhance their performance and grow their careers. Join Us If you're excited to turn cutting-edge AI into robust, production-ready systems that power the future of education - we'd love to hear from you. Join us to build AI solutions that matter for the next generation of learners, educators, and public service! GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe it is key to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. We champion flexible work arrangements (subject to your job role) and trust you to manage your time to deliver your best. Learn more about life inside GovTech at go.gov.sg/GovTechCareers.
Posted 2 weeks ago
OpenAISan Francisco, CA
About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company's long-term trajectory. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we're building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing a scalable forecasting platform to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI's full potential. About the Role We're looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up. Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability. You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs. This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You'll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. We follow a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale. Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders. Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making. Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions. Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability. Research and evaluate emerging tools and techniques in the forecasting space. Translate technical outputs into business-aligned recommendations and decision frameworks. You might thrive in this role if you have: Extensive experience building production-ready models for time series applications. Proven track record of building adjustable and explainable forecast models for multiple planning cycles. 10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling. Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments. Excellent communication and storytelling skills - able to simplify complexity and influence executive stakeholders. Team leadership experience with a track record of building high-performing, engaged teams. An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research). A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1. The ability to thrive in a dynamic environment - flexible, resourceful, and willing to do what it takes to succeed. Experience building or scaling forecasting platforms in a high-growth company. A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments.Experience building or scaling forecasting platforms in a high-growth company. A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments. Bonus if you have: Experience building or scaling forecasting platforms in a high-growth company. A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Posted 1 week ago
3M CompaniesMaplewood, MN
$188,251 - $230,084 / year
Job Description: Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military experience to a 3M career. The Impact You'll Make in this Role As an Analytical Data Science Manager, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by: Managing and leading a team of analytical data scientists Developing strong relationships with key division customers and executing on operational goals Developing strategies for technical programs, developing appropriate IP strategy and portfolio Developing HR plans (identify needed skill sets, create progression/succession plans and establish relationships with key sources and future talent) Other duties as assigned Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: Bachelor's degree or higher in a science or engineering discipline (completed and verified prior to start) Five (5) years of laboratory data science or digital solution research experience in a private, public, government or military environment Additional qualifications that could help you succeed even further in this role include: Experience managing data scientists and/or software developers Experience with analytical or materials science data and technology development Experience leading multidisciplinary research teams/projects Excellent problem-solving and analysis skills Results driven, self-motivated and strong team-building skills Excellent written and oral communication skills Work location: On-site (Maplewood, MN) Travel: May include up to 5% domestic travel Relocation Assistance: May be authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being 3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. Chat with Max For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/ . Good Faith Posting Date Range 10/14/2025 To 11/13/2025 Or until filled All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M. Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement. Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/ 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.
Posted 30+ days ago
The MITRE CorporationShrewsbury, NJ
$45,500 - $57,000 / year
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Posted 1 week ago
Regeneron PharmaceuticalsSleepy Hollow, NY
$180,400 - $300,700 / year
The Director, Data Science (Ophthalmology) role is a part of the Insights & Analytics team under Commercial Strategy. In this role, a typical day might include: As a part of the team, the role will collaborate with business partners, service owners and IT peers to develop predictive and prescriptive models and insights for Ophthalmology CBU within US Commercial Organization. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques to help Regeneron with its mission of getting patients the therapies they need. This role might be for you if you can: Leveraging data science, machine learning, and artificial intelligence capabilities drive marketing and sales execution effectiveness for the Ophthalmology CBU. Contributing to cross functional teams (Insight & Analytics organization) on projects and/or programs with aims to derive integrated insights that deliver substantial business value to Ophthalmology CBU patients. Identifying business needs and proposing potential analytics approaches for solutions. Manage high performing internal/external analytics team to ensure key projects are delivered with timely and key business insights/actions. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python, R, SAS, SQL and/or other tools. Creating prototypes and demonstrations to better access and utilize data assets. Collaborating cross-functionally with stakeholders to develop use cases that are relevant to the business. Responsible for managing and maintaining promotional response models and lead marketing mix and attribution modeling work. Presenting analysis ideas, progress and results to business partners. Ensuring systems meet business requirements and industry best practices, Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets. To be considered for this opportunity, you must have the following: Master's degree completed by start date and 10+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelor's degree and 12+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research 7+ years of data science and analytics experience Experience with databases including relational, NoSQL, and Graph Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, Keras, TensorFlow, Pytorch, etc. Write well-abstracted and reusable code in Python, R, or Scala; freely navigate in Linux environment; stand up web applications; documentation, version control, and code review Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills Excellent organization/planning skills and talent for managing many large and complex datasets Ability to set up analytics bench/infrastructure to build data science capabilities Provide analytics guidance for brand performance analytics and internal team members Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end Ability to communicate analysis in a clear, precise, and actionable manner Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) Passion for learning and staying on top of current developments in advanced analytics Biotech / Pharma experience required Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $180,400.00 - $300,700.00
Posted 30+ days ago
General MotorsMountain View, CA
$134,000 - $226,000 / year
Job Description Senior Software Engineer, Data Science Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Warren (MI), Austin (TX), or Mountain View (CA) three times per week, at minimum. This position can be located at any of these locations. Why Join Us General Motors is at the forefront of transforming transportation through software-driven innovation. We're driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are a cornerstone of our strategy. Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes. We're pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality. We're looking for a Senior Software Engineer for Data Science to build scalable, AI-driven solutions that deliver measurable impact across engineering and customer experience. The Role As a Senior Software Engineer for Data Science, you will lead the development of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains. You'll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape. What You'll Do Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs. Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs. Apply statistical methods, anomaly detection, and clustering to uncover patterns. Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets Create interactive data visualizations to communicate and interpret complex data Design and build supervised and unsupervised ML models Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services). Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments. Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms. Mentor junior level employees, providing coaching and guidance on difficult issues. Your Skills & Abilities (Required Qualifications) Bachelor's in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience 5+ years of experience building and deploying advanced machine learning or deep learning systems in production. Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh) Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks) Experience with MLOps tools and deploying models via containerized microservices on cloud platforms. Data Visualization using PowerBI, Databricks Apps, Azure Apps Exceptional analytical and independent problem-solving capabilities Strong listening and communication skills and ability to collaborate cross-functionally. Demonstrated ability to mentor junior level employees, providing coaching and guidance on difficult issues. What Will Give You a Competitive Edge (Preferred Qualifications) Master's or PhD in Computer Science, Engineering, Mathematics, or related field 7+ years of experience building and deploying advanced machine learning or deep learning systems in production. Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization. Demonstrated expertise with LLMs, transformer architectures, AI agents Experience in automotive domain GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.). Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $134,000 - $226,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #LI-LL2 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Posted 30+ days ago
DiscordSan Francisco, CA
$248,000 - $279,000 / year
As a manager on the Safety Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games, while ensuring a safe environment that minimally disrupts positive user experiences. What you'll be doing Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing right-sized coaching, feedback, and development support. Participate in Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation to senior team members, maintaining and improving existing processes. Up-level the team's ability to have more strategic impact by improving processes, stakeholder management, and driving ruthless prioritization. Develop your own strategic point of view of how Safety can be improved at Discord and drive change via thought leadership and/or deliverables from your team. What you should have Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation, scaled abuse detection (spam/scams), and/or teen safety initiatives. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build and maintain high-performing DS teams. 5+ years in data science or analytics as an IC with proficiency in SQL and R or Python, plus willingness to contribute technically when needed. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication and proven ability to translate complex technical findings into clear insights for stakeholders across all technical levels. Experience scaling and automating self-service analytics through tools like Tableau, Looker, or PowerBI. Experience or strong perspective in safety or risk domains with ability to apply data science to these business areas. Strong management philosophy aligned with building autonomous, accountable teams while driving business impact. Collaborative, low‑ego, and user‑obsessed. Bias to action and learning. Bonus Points Experience collaborating with compliance, legal, or litigation cross-functional teams. Experience with mature data platforms and engineering stacks including DBT, Dagster, or Airflow. Experience applying causal inference or ML to guide product decisions at scale. Passion for Discord, gaming, and/or online communities. Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Posted 30+ days ago
The MITRE CorporationSan Antonio, TX
$45,500 - $57,000 / year
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Posted 1 week ago
Omnicom Media GroupNew York, NY
$90,000 - $145,000 / year
Beauty Co-Lab (BCL) is a bespoke Omnicom Media Group unit for L'Oréal USA delivering an industry-leading agency solution that drives business growth and transformation. With deep expertise in data and technology, we deliver audience first, full-funnel and omni-channel strategies to deliver against L'Oréal's mission: Create the Beauty that moves the world. For over a century, L'Oréal has devoted its energy, innovation, and scientific excellence solely to one vocation: Creating Beauty with a main goal of offering each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity. At Beauty Co-Lab, our mission is to co-create what's next and our team of beauty champions and media challengers possess modern media, commerce, and analytics skillsets to keep pace with the rapidly changing ecosystem and reflect the wonderful diversity of the consumers and communities we serve. We are passionate about beauty, media, data, and technology. Responsibilities External facing responsibilities: Partner with Planning & Investment teams to provide expert hands-on Data Science support across the entire campaign lifecycle. Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/publishers Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.) Strong project management skills with an ability to set priorities, meet deadlines and know when to ask for help Leverage technical (coding) expertise to help bring about process efficiencies Internal facing responsibilities: Contribute to building decks and reports that help translate analytical results to internal and client teams Contribute to building DS Practice knowledge repository via decks, documents, and other artifacts Lead and train managers and other junior team members Required Skills Hands-on programming language skills (SQL, Python, R, etc) Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information Advanced presentation and communication skills Some experience working with non-technical teams Knowledge of digital clean rooms, and their related concepts and strategy Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online) Demonstrated domain knowledge of business/industry Education and Experience A university degree in mathematics, computer science, statistics or related field, and 5-7 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting Knowledge of agency-side execution process is desirable, but not required #LI-GC1 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $90,000-$145,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice
Posted 5 days ago
Senior Director, R&D Data Science & Digital Health - Neurodegeneration
Johnson & JohnsonSan Diego, CA
$193,000 - $333,500 / year
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Job Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science Portfolio Management
Job Category:
People Leader
All Job Posting Locations:
Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
Job Description:
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health - Neurodegeneration. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25% domestic and international travel.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.
Role Summary
We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for neurodegenerative diseases. This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact.
You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with neurodegenerative disorders.
Key Responsibilities
- Define and execute the data science and digital health strategy for neurodegeneration, integrating computational biology, AI/ML, digital health, and clinical/RWE insights.
- Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets.
- Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways.
- Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery.
- Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment.
- Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven neuroscience.
- Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational neuroscientists to deliver on strategic initiatives.
Qualifications
- Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required.
- 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required.
- 7+ years of experience as a people manager is required.
- Experience in clinical development with demonstrated expertise in neurodegeneration preferred.
- Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required.
- Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification.
- Track record of scientific contributions (presentations and publications) in this field is required.
- Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required.
- Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus.
- Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required.
- Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required.
This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.
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