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Our Mission: 6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. The Role: VP, Data Science & AI Engineering At 6sense, we are redefining how B2B companies predict, prioritize, and engage with buyers. As VP, Data Science & AI Engineering, you will drive and execute the vision of how AI powers our product by embedding AI at the core of our product experience. From advanced predictive models to generative and agentic intelligence, your leadership will shape the next generation of AI-native products. We're looking for a visionary and execution-driven leader with deep expertise in both data science and ML engineering. You'll own the end-to-end AI/ML strategy - from model development to deployment at scale - while building strong cross-functional relationships to drive adoption, value, and innovation. You will partner closely with product, engineering, GTM, and executive leadership to define and execute the roadmap for AI-native capabilities, predictive modeling, and real-time intelligence - all underpinned by scalable, reliable ML infrastructure. As a hands-on executive, you will lead teams spanning data science, ML engineering, and ML/Ops to drive business impact and develop concrete outcomes through the responsible and innovative use of data and AI. Key Responsibilities Strategic Leadership: Own and define the long-term AI and data science vision and strategy that advances 6sense's mission of transforming B2B sales and marketing through predictive and generative intelligence. Articulate the role of AI in the business at the executive level, and translate complex science into clear product and business strategy. Act as a thought leader and evangelist for AI across the business - from applied use cases to ethical and responsible AI practices. Manage a diverse portfolio of AI initiatives, balancing short-term impact with long-term investments across generative AI, predictive modeling, and platform capabilities. Product Development and Innovation: Lead the conceptualization, development, and deployment of scalable AI products, with a strong emphasis on generative AI (GNI), NLP, agentic workflow, and customer-facing intelligence - from problem definition to deployment. Ensure research efforts translate into features, models and systems with measurable ROI. Define and track success metrics for data science and machine learning products and platforms. Lead the development of scalable and secure ML/Ops pipelines that support continuous training, deployment, and monitoring of models in production. Team & Culture: Partner deeply with Product, Engineering, and GTM teams to embed AI into the core product experience, translate customer needs into data driven solutions, and ensure measurable customer and business value. Recruit, mentor, and retain top-tier talent across data science and ML engineering, creating a culture of ownership, rigor, experimentation and delivery. Partner closely with product, engineering, and GTM to embed AI deeply into the customer journey. Thought Leadership & Industry Engagement Act as a visible champion for AI at 6sense-internally and externally-through thought leadership, speaking engagements, and strategic collaborations. Represent the company in industry forums, conferences, and publicatins to showcase 6sense's AI capabilities and attract top talent. Foster applied research efforts that result in whitepapers, patents, and proprietary methodologies that differentiate 6sense's AI capabilities in the market. Build external partnerships to stay at the cutting edge of AI advancements and drive strategic advantage. Required Qualifications 15+ years of experience in data science, machine learning, or applied AI roles, with at least 5+ years in senior leadership, including experience managing senior leaders and multi-disciplinary teams. Proven success leading AI product development-including generative AI (LLMs, retrieval-augmented generation, prompt engineering) and natural language processing (NER, classification, summarization, embeddings). Strong experience deploying ML systems in production, including recommender systems, LLMs, and agentic systems. Deep expertise in applied machine learning and statistical modeling in production environments, including recommender systems, time series prediction, and personalization. Track record of building AI-native or AI-led products that drive customer and business value. Prior experience working in B2B SaaS and/or Martech is strongly preferred. Strong business acumen with the ability to prioritize and balance long-term vision with near-term impact- while aligning senior stakeholders to drive action and sustainable results. Technical knowledge in modern ML toolkits, MLOps platforms, and cloud-based data architectures (e.g., AWS, Databricks, Kubernetes, etc.). Exceptional executive communication skills and the ability to influence across product, engineering, and C-level stakeholders. Bachelor's Degree or equivalent in a related field Strong leadership skills with a track record of attracting top technical talent and developing high-performing teams. Base Salary Range: $233,859 - 350,789. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We'll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com

Impact As a Director of Data Science, you will be leading the Search Data Science team. Customers rely on our search experience to find exactly what they need, and this role will be pivotal in building cutting-edge machine learning and AI-powered search capabilities that create seamless, intuitive, and personalized experiences. This is a high-visibility leadership role, aligned with one of the company's top strategic priorities. As a Director, you will define and drive the vision and strategy for search, and work cross-functionally with Product, Engineering, and Design to deliver world-class search solutions that directly impact business growth. What You'll Do: Set the vision and strategy for the Search Data Science team, aligning with company goals and customer needs. Lead and grow a high-performing team of data scientists and ML engineers, providing mentorship, technical guidance, and career development. Partner closely with Product, Engineering, and Design to define search product requirements and translate them into robust data science and machine learning solutions. Develop and deploy AI-driven search algorithms, including query understanding, ranking models, personalization, semantic search, and LLM-powered search experiences. Establish best practices for experimentation and measurement of search relevance and customer satisfaction. Drive innovation while ensuring scalability, reliability, and performance of search systems. Communicate vision, strategy, and progress to executive leadership and stakeholders. What You'll Need to Be Successful Proven expertise in search: At least 5 years of experience working on search, information retrieval, or related domains. Hands-on LLM experience: Practical experience applying large language models (LLMs) to real-world problems such as semantic search, query rewriting etc. Leadership experience: Track record of managing and growing high-performing teams of data scientists or ML engineers. Technical depth: Strong background in machine learning, natural language processing, information retrieval, and modern AI/ML techniques. Ability to engage deeply with the team on technical decisions. Cross-functional collaboration: Excellent ability to partner with Product, Engineering, and Design to define and deliver customer-focused solutions. Superb communication skills: Comfortable presenting complex technical ideas to executives, peers, and cross-functional partners in a clear and compelling way. Advanced degree (MS or PhD) in Computer Science, Engineering, or related field preferred. Work Arrangement Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role. About Shipt Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities. At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More. Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt's company site at Shipt.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law. Please inform your recruiting contact upon initial connection if you need a reasonable accommodation. If you need assistance filling out a job application, please complete this form. For technical interviews, Shipt uses an online coding platform. In the event you may need a reasonable accommodation to use the online coding platform, please connect with your recruiter. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company's 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role. Pay range: Metro Areas of Boston, District of Columbia, Los Angeles, San Francisco, Seattle and New York City: $172,000-$344,000 All other locations: $152,000-$305,000 Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.

Job Description: Data Science Specialist 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 wide 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 The person hired for this position will support digital transformation for the Transportation & Electronics Business Group Laboratory. The person in this position will work closely with colleagues in the Systems and Modeling Group, manufacturing, and division partners. The ideal candidate will perform well in a fast-paced, cross-functional environment and is able to manage multiple projects effectively while collaborating with personnel in divisions, manufacturing, and corporate research labs. It is expected that this statistician will be responsible for applying statistical methodologies and machine learning techniques to design experiments, analyze complex data sets, and provide actionable insights to enhance business operations. Your role will involve developing predictive models, designing and analyzing experiments, and collaborating with teams to solve challenging business problems using data. As a statistician, 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: Design of Experiments (DOE): Develop and implement experimental designs to optimize processes, understand variability, and determine key factors that impact outcomes. Data Analysis: Use advanced statistical techniques (e.g., regression analysis, ANOVA, hypothesis testing) and machine learning algorithms (e.g., random forests, neural networks, support vector machines) to analyze data and extract meaningful insights. Model Development: Build and deploy predictive models using statistical or machine learning techniques to address business challenges and drive performance improvements. Data Preprocessing: Clean, preprocess, and transform raw data for analysis, ensuring high-quality datasets for both statistical and machine learning models. Collaboration: Work closely with cross-functional teams (e.g., engineering, marketing, operations) to understand data requirements and ensure alignment with business goals. Reporting and Visualization: Create clear, concise reports and data visualizations to communicate findings and recommendations to both technical and non-technical stakeholders. Optimization: Leverage DOE principles and machine learning models to optimize systems and processes, continuously improving efficiency and outcomes. Research and Innovation: Stay updated with the latest advancements in statistical methods, DOE techniques, and machine learning technologies to incorporate innovative solutions into analyses. Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: Master's degree in Statistics, Data Science, Mathematics, Engineering (completed and verified prior to start) Three (3) years of industry and statistics experience in a private, public, government or military environment Additional qualifications that could help you succeed even further in this role include: Industry experience of 2 or more years in related fields. PhD in Statistics, Data Science, Mathematics, Engineering, or a related field. Strong experience in Design of Experiments (DOE), including creating and analyzing factorial designs, definitive screening designs, response surface methodology (RSM), and optimization techniques. Hands-on experience with machine learning algorithms (e.g., regression, classification, clustering, and neural networks) Proficiency in statistical software (e.g., R, SAS, Minitab, JMP) and programming languages (e.g., Python, MATLAB). Solid understanding of data manipulation, exploratory data analysis, and feature engineering techniques. Strong analytical skills, with the ability to work with large and complex datasets. Experience with model evaluation and validation techniques, including cross-validation and hyperparameter tuning. Ability to communicate complex statistical and machine learning concepts in a clear and actionable way to both technical and non-technical audiences. Strong problem-solving skills with attention to detail. Work Location: Maplewood, MN Lab-based and On-site Travel: May include up to 5% domestic/international 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 $141,150 - $172,517, 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 08/29/2025 To 09/28/2025 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.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of how Lyft makes business and product decisions. As a data science team, we work collaboratively with partners across product, engineering, operations and growth to develop business insights and make actionable recommendations. We're looking for passionate data scientists to take on some of the most interesting and impactful problems in ridesharing. You'll work in an environment where we embrace moving quickly to build the world's best transportation. Data Scientists pursue a variety of problems ranging from understanding our passengers and drivers, to ensuring we have an efficient marketplace, to optimizing how we run our marketing and growth incentives. You'll dig into the data to uncover insights, design experiments and measure the impact, and help influence decision-making across the entire organization. As a Data Science Intern on the Decisions: Product track, you will focus on Data Science for humans. Your output shapes decisions made by executives, product managers, operations and business teams, and beyond. This role relies upon an ability to apply decision frameworks and a deep understanding of the business and product to drive alignment on problems and solutions. You will report into a Science Manager. Responsibilities: Build and automate relevant models and reporting for important business processes Perform deep-dives into our customer data to understand passenger and driver behavior Develop strong hypotheses, create solutions, and uncover business insights to increase growth Design and analyze experiments to increase engagement with the Lyft platform Partner and develop strong relationships with diverse teams across product, marketing, and engineering Experience: Pursuing a Bachelor's or Master's degree in data science, computer science, economics, applied math, engineering, statistics or another quantitative field; or in a hard science field, such as physics, biology, biostatistics, etc. Currently attending a university and graduating between December 2026 and Summer 2027 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience. Available during Summer 2026 for the internship in San Francisco Comfortable working with very large datasets Experience analyzing data in Python or R; strong proficiency in SQL Experimentation design and analysis of A/B tests Effective communication skills; detail-oriented Passion for community, sustainability, or transportation Ability to thrive in a fast-paced environment Benefits: Great medical, dental, and vision insurance options Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off 401(k) plan to help save for your future Pre-tax commuter benefits Lyft Pink- Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule- Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. #Hybrid The expected base pay range for this position in the San Francisco area is $54-$58/hour USD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Pay Range: $50.48/hr. - $55.73/hr. | $105,000 - $115,914 annual compensation Job Posting Closing on: Monday, October 20, 2025 Workdays & Hours: Monday- Friday 8am- 5pm; Some evening/weekend work required. Benefits for this position include: 11 Paid Holidays, Medical, Dental, Vision, Paid Time Off, Pension Plan, Professional Development Opportunities. Find Out More! The City of Fort Worth is one of the fastest growing large cities in the U.S. Our employees serve the needs of over 1,000,000 residents, promoting our values of exceptional customer experience, mutual respect, embracing our diversity, continuous improvement, ethical behavior, and accountability. A Sr. Data Science Analyst job is available with the City of Fort Worth FWLab Data Analytics division. The FWLab houses the Budget, Revenue and Special Districts, Strategy and Performance, and Data Analytics division of the City of Fort Worth. Our focus is on building organizational capacity to explore, analyze, and learn from data that is discoverable via existing and municipal systems and components. Minimum Qualifications: Bachelor's Degree from an accredited college or university with course work in Computer Science, Finance, Economics, Public Administration, Business Administration, Information Technology, or a related field Four (4) years of experience require Preferred Qualifications: Experience in Machine Learning and Data Science techniques (e.g., Linear Regression, Bayesian Statistics, Causal Inference), with a strong background in working with large, multimodal datasets to address complex business problems. Proficiency in programming languages (e.g., Python, R) and query languages (e.g., SQL), as well as experience with data visualization and business intelligence tools (e.g., Power BI). Familiarity with big data technologies (e.g., distributed streaming/processing) and the modern data stack (e.g., Apache Airflow, dbt, Snowflake, Azure Data Lake), alongside knowledge of software development practices (e.g., Git), unit testing, and integration testing. The Sr. Data Science Analyst job responsibilities include: Develops and implements data analysis strategies to solve complex business problems, leveraging advanced statistical, machine learning, and predictive modeling techniques. Creates and communicates insightful data visualizations to stakeholders, ensuring complex data is presented clearly and effectively. Coordinates and analyzes data from multiple departments to identify opportunities for enhancing departmental operations and performance through data-driven decision-making and process improvements. Designs, produces, and automates both standard and customized reports for statistical analysis, operational planning, and strategic decision-making, using modern data visualization tools and programming languages. Collaborates with end-users to gather and refine requirements for data projects, creating detailed business requirement documents, and conducting follow-up meetings to ensure alignment with business goals and data availability. Performs exploratory data analysis, hypothesis testing, and advanced data mining techniques to uncover trends and patterns in historical data, providing actionable recommendations to improve departmental performance. Builds and maintains data pipelines for efficient data flow. Apply Now! Come be part of something special in Fort Worth. Conditions of Employment The City of Fort Worth is proud to be an Equal Employment Opportunity employer. It is the policy and practice of the City to recruit, hire, train and promote a diverse workforce without regard to 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, parental status, military service, or another non-merit factor. The City of Fort Worth is committed to full compliance with the Americans with Disabilities Act. Reasonable accommodations may be made to enable qualified individuals with disabilities to participate in the job application or interview process and to perform essential job functions. Candidates who do not meet the Education requirement, may be considered if they have more relevant work experience than the position requires. Those selected for employment will be required to pass Pre-Employment checks depending on the position requirements. Those could include, but are not limited to: criminal background check, drug screen, education verification, etc. criminal convictions will be considered on a case-by-case basis. Employees are paid by direct deposit only.

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Job Responsibilities: Lead in the development and implementation of quality strategy and associated capabilities to support the CDS objectives Manage quality review of clinical trial documents, workflows, and outputs within the CDS organization to ensure clinical trials are conducted in compliance with Gilead procedures, GCP and applicable global regulations Analyze trends to identify process gaps, improvement opportunities and areas requiring corrective/preventive actions Lead new quality focused initiatives focused on new learnings, findings, and observations to continuously improve CDS quality practices and methods Work closely with Gilead CDS study team to provide expert advice on compliance issues and risk mitigation actions Collaborate with the audit, inspection and CAPA management team within Gilead R&D Quality on internal audits, regulatory agency inspections, risk assessment, deviations and CAPA activities Liaison and coordinate with business experts and stakeholders to support resolution of audit outcomes which require further action or response. Partner closely with business units to lead, track and manage corrective actions or risk mitigation activities Serve as a Change Champion for Gilead QMS-related communications to the CDS organization consolidating and channeling just-in-time information and resources to prepare the organization for change Analyze new regulations and polices with emphasis Good Clinical Practices (GCP) and partner with business experts and stakeholders to update internal documentation and practices accordingly based on areas of impact Foster a commitment to quality in individuals and a culture of quality across the CDS organization and with CDS related service providers Basic Qualifications: Bachelor's Degree and Ten Years' Experience OR Masters' Degree and Eight Years' Experience OR PhD and Two Years' Experience Preferred Qualifications: 10 years of relevant experience with a BS degree in life sciences or related field with significant experience advising business functions in the biopharma industry on quality and compliance requirements, evolving regulations, risk minimization and mitigation, and vendor management 8 years of relevant experience with a Master's degree in life sciences or related field with significant experience advising business functions in the biopharma industry on quality and compliance requirements, evolving regulations, risk minimization and mitigation, and vendor management Experience working across a broad spectrum of quality and compliance activities, including authoring and reviewing SOPs, facilitating internal audits, supporting regulatory inspections, developing and managing CAPAs and deviations, and training others on quality and compliance requirements Significant experience participating in cross-functional projects and teams with responsibilities related to clinical trials or other drug development activities Familiar with the practice of recording and monitoring quality observations through a Quality Management System (QMS) Knowledge & Other Requirements: In-depth knowledge of regulatory requirements applicable to the conduct of clinical trials and guidelines (e.g., FDA, EMA, ICH) and related industry standards and trends Through knowledge of the drug development process, including all key functions involved in the various stages of drug development from early research through post-marketing Strong analytical skills to assess quality issues and lead the resolution in a collaborative manner across functions Significant experience advising business function and senior leadership team on quality & compliance requirements, evolving regulation, risk mitigation, and continuous improvement Strong track record of cultivating and maintaining strategic relationships and collaboration both internally and externally People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations, and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop, and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem. The salary range for this position is: $182,070.00 - $235,620.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: https://www.gilead.com/careers/compensation-benefits-and-wellbeing Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges-from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most-employees, customers, patients, and guests-easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Data Science Manager to lead initiatives across the entire Lyft Business product suite. In this role, you will shape the vision, define the roadmap, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our partners. You'll collaborate closely with Product, Engineering, Design and Go-to-Market teams to build models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft's enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, experimentation; strong business acumen in B2B contexts; and a proven track record of leading teams in fast-paced, cross-functional environments. Responsibilities: Lead, mentor, and grow a high-performing team of data scientists focused on algorithm development, machine learning, experimentation and advanced analytics for Lyft Business. Define and execute the data science vision and roadmap for innovation across the Lyft Business product suite, ensuring alignment with overall business strategy. Design, develop, and deploy algorithms and models that power core product capabilities. Partner with Product, Engineering, and Design to integrate solutions into scalable, production-grade systems and customer-facing experiences. Establish robust experimentation and causal inference frameworks to measure the business impact of algorithmic changes. Conduct deep analyses of complex, large-scale datasets to uncover opportunities for growth, operational efficiency, and improved user experience. Champion data-driven decision-making, ensuring that product and strategy decisions are informed by rigorous quantitative analysis. Drive innovation by staying current with emerging research, technologies, and industry best practices in algorithms, optimization, and applied machine learning. Experience: PhD (preferred) or Master's degree in a quantitative field such as Machine Learning, Computer Science, Statistics, Engineering, or a related discipline; or equivalent practical experience. 8+ years of progressive experience in data science, machine learning, optimization, or causal inference, including building and deploying algorithms in production systems 3+ years of people management experience leading high-performing technical teams, with a proven ability to mentor, develop, and retain top talent. Demonstrated ability to set a strategic vision for data science and translate it into impactful, scalable solutions that drive measurable business outcomes. Deep expertise in machine learning, experimental design, causal inference, and statistical methodologies, with a track record of applying them to high-stakes product or marketplace decisions. Experience navigating complex, ambiguous problem spaces and guiding teams through prioritization, tradeoffs, and execution. Strong communication and influence skills, with the ability to engage both technical and executive stakeholders, align priorities, and build consensus. Hands-on proficiency with large-scale data processing tools and machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink- Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule- Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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 Job Category: People Leader All Job Posting Locations: Raritan, New Jersey, 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: Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible- Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources, including RWD, trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making. We are seeking a dynamic Director to lead Real-World Evidence (RWE) initiatives across therapeutic areas (xTA) within the R&D Data Science & Digital Health organization. This role will be instrumental in advancing our enterprise-wide RWE capabilities, fostering cross-functional collaboration, and driving innovation in evidence generation. The successful candidate will partner closely with senior leaders across R&D and commercial to shape the RWE ecosystem, influence regulatory policy, and elevate J&J's scientific leadership internally and externally. This is a high-impact role for a strategic thinker and hands-on leader passionate about transforming healthcare through data-driven insights. Other Key Responsibilities include: Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making. Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions. Contribute to shaping regulatory policy and standards for RWE through scientific engagements. Develop and disseminate best practices for novel RWE design and methodologies. Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research. Support the development of internal capabilities and tools to accelerate evidence generation and delivery. Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 8+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 3+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health). Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Experience in regulatory-grade evidence generation and regulatory engagement. Demonstrated ability to lead cross-functional initiatives and influence without authority. Subject matter expertise in one or more therapeutic areas. Experience working in matrixed, global organizations. 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. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: 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 Additional information can be found through the link below.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. About the Role Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance. Avail (part of Realtor.com) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S.. We are looking for a hands-on, experienced manager to lead a team of 3-4 data scientists and business analysts, acting as a trusted partner to the Avail leadership team and working closely with them to address critical business questions. As the dedicated data science leader for Avail, this role supports all of Avail's business functions including product, marketing, payment operations, compliance, and customer support; and plays a critical part in driving key strategies and decisions on how to improve customer acquisition, retention, sales, and growth. This is a job for a full-stack data scientist with leadership skills and significant experience in stakeholder management and project management. You are expected to not just react to needs/asks but also actively identify opportunities to move the needle in meaningful ways, in close partnership with the Head of Avail and all of the functional leaders. What you'll do Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation. Develop data and analytics strategies that are aligned with business goals and priorities. Partner closely with stakeholders to understand/clarify needs and requirements, and work with team members to conduct analysis and/or develop data science solutions to address the needs. Work with large and complex data sets to solve a wide array of challenging problems using different data science methods including but not limited to regression, classification, time series, cluster analysis, and advanced machine learning algorithms. Create trusted analytic data layers that serve as the single version of truth and enable wide access to key data and metrics. Build and continuously improve reporting capabilities (e.g., Mixpanel and Tableau dashboards) that provide self-serve access to valuable insights about the business and empower decision making. Carry out deep-dive analysis to explain observations and trends. Build data science models to surface actionable insights from large and complex data, predict trends or customer propensity, and optimize operations and resource allocations. Design and execute experimentation to test business hypotheses, prepare test readouts, and provide data-driven recommendations. Prepare deliverables and regularly present work to technical and non-technical audiences. You will convince and influence leaders using clear insights and recommendations, and build credibility through structure and clarity. Build strong partnerships with a wide range of cross-functional stakeholders and actively identify and unlock opportunities to improve business performance with data and analytics. Closely collaborate across the Data Science & Analytics organization to ensure broad adoption of data science and analytics initiatives to drive value for the business. What you'll bring We are looking for a player-coach leader who's intellectually curious, passionate about solving complex business problems using data and analytics, and is able to move fast while maintaining focus on high-impact projects. Minimum Qualifications Bachelor's degree, ideally in a quantitative field (e.g., Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science, Computer Science). 6+ years of professional experience in data science and analytics, with 2+ years experience managing people. SQL fluency is a must, with 5+ years of experience. 3+ years of experience using a scripting language like Python or R. Significant experience with experimentation in a business context, including test design, execution, tracking and analysis of results, and readout/recommendations. Strong communication skills for stakeholder engagement and team leadership. Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. Experience in collaborating with cross-functional partners. Experience managing multiple priorities and adapting to changing business needs. Preferred Qualifications Master's or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background. Experience with cloud-based data environments such as Snowflake and AWS. Experience building and managing analytic data layers. Knowledge of ETL processes, data environments, data governance principles, etc. Knowledge of DBT, Airflow, and Snowflake preferred. Experience in leading reporting/data visualization capabilities (using Tableau or similar tools). Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting. Demonstrated ability to develop a roadmap for complex technical initiatives and effectively communicate progress against that roadmap. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

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 We are looking for a Lead Data Science Engineer to join our Daily Fantasy Sports reinvestment team, where we focus on understanding and optimizing how players engage with our DFS products over time. As a Lead Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. What you'll do as a Lead Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Sportsbook product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Experience leading and coaching other data scientists Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. 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 140,800.00 USD - 176,000.00 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.

Job Description Infosys is seeking an AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions, including Large Language Models (LLMs) and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must live within commuting distance of Plano, TX OR Charlotte, NC or be willing to relocate. This position may require travel in the US. At least 4 years of experience in Information Technology Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At least 4 years of experience in Python programming, including OOPs, data structures (queues, stacks, linked lists), and API development. At least 3 years of experience in Big Data technologies (e.g., BigQuery, Hadoop). At least 2 years of experience in cloud platforms (Azure, GCP) and their AI/ML services. At least 2 years of experience in ML model development, data engineering, and software engineering principles. At least 3 years of experience in MLOps and AI/ML deployment (e.g., SageMaker, Snowflake). At least 2 years of hands-on experience in Generative AI, LLMs, and agentic frameworks. Preferred Qualifications: Experience with API Gateway development and deployment on Azure/GCP. Hands-on experience with vector databases and RAG pipelines. Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Strong problem-solving skills and ability to evaluate multiple solution paths. Excellent communication and stakeholder management skills. Domain expertise in Banking, Finance, or Capital Markets is a plus. The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 10+ years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry 5+ years in team management and leadership roles with increasing complexity and responsibility Master's or PhD degree in statistics, data science, business analytics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting Proficiency in one or more analytic languages (R, Python) Proven ability to architect and engineer machine-learning pipelines with online / real-time features Current knowledge of and strong interest in consumer credit trends and dynamics. Ability to speak authoritatively with customers on relevant topics Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches An excellent oral and written communicator with highly technical and non-technical TU leaders, partners, and customers. A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization. Substantial prior experience making formal presentations to large and senior-level groups, as well as in smaller and less formal settings Availability to travel up to 25%. We'd Love to See: Consultative approach to decision-making, ability to gather and synthesize multiple perspectives Aptitude and passion for design of highly effective processes Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code Experience manipulating large datasets in SQL Experience with big data frameworks (Spark, Redshift, BigQuery, Hadoop, Ab Initio) Experience with cloud computing (AWS, GCP) Experience serving highly regulated industries Familiarity with credit bureau data and business practices Impact You'll Make: The DSA Argus leader drives core components of TransUnion Argus strategy as part of the DSA Financial Services Consulting department. This leader will manage a full capability stack, and in close collaboration with matrix partners across multiple business units they will: Lead the development of models and solutions using machine learning, statistical analysis, mathematical modeling, and artificial intelligence techniques to predict and measure outcomes and consequences. Establish and enforce best practices in the design and development practices for the aforementioned models, including rigorous management of a robust, scalable codebase, collaboratively with other DSA leaders. Proactively participate in the development of operating policies and procedures of significant scope and complexity to promote operational excellence across Data Science & Analytics. Advocate for productivity-enhancing operating procedures and technologies. Cultivate and maintain strategic partnerships and customer relationships, including via actionable, data science consulting that spans the lifecycle from issue discovery through solution development, deployment, and governance. Support Sales and Argus Advisory Services in demonstrating efficacy and value, arming client-facing associates with tools to help drive adoption and revenue Work with the Solutions organization to propose, prioritize, design, develop and take to market new products, including generic scores, derived from Argus consortium data. Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of use cases, maintaining a complete data dictionary, and publishing relevant insights. Lead the design, management and automated production of custom insights for Argus consortium members. Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors' offerings. Maintain knowledge and ensure compliance with regulatory and contractual requirements pursuant to minimizing legal risks in the management of Argus consortium data. Contribute novel methods and research findings to TransUnion's growing intellectual property (IP) portfolio, potentially including patents. Assemble, maintain, and lead a geographically dispersed, high-performing team with specialized domain and technical expertise in accordance with DSA global standards. Eliminate constraints to cross-team collaboration and integration. Promote the cross-team propagation of successful ideas and approaches. Evangelize the team's unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing. Advise sponsors and stakeholders on the capabilities and potential value of proposed vendors, partners, and acquisition targets, including commercial and open-source software tools and frameworks. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $166,800.00 - $250,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics Company: TransUnion LLC

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands. Operations Department Vantage operates mission-critical data centers for the world's largest technology firms. The operations department is responsible for setting and maintaining high operating standards across the fleet, and ensuring uptime, reliability, security, and customer service. The team includes Site Operations, responsible for the day-to-day running of the facilities and supporting infrastructure. The sites are staffed 24 x 7 with Critical Facilities Engineers (CFEs) on each shift. The Reliability Engineering Team is responsible for the setting maintenance standards, ensuring consistency and quality of site operations across the fleet, and provides subject matter expertise in the areas of electrical, mechanical, controls & automation, influencing across design, procurement, construction and commissioning. The Security Team ensures Vantage facilities are safeguarded and well monitored, and is responsible for access control, CCTV, security staffing, security design, and engineering. Lastly, the Business Operations Team is responsible for service support, KPI management, vendor relations, standards & transformation, and property management. Position Overview This role is based in Denver, Colorado in alignment with our flexible work policy (3 days on site required, 2 days flexible). The Senior Director, Data Science will lead a high-impact team responsible for delivering advanced analytics, financial modeling, and geospatial intelligence to support Vantage's most critical business decisions. This role will collaborate closely with senior leadership and cross-functional teams to shape data-driven strategies that drive growth, operational efficiency, and long-term planning. The ideal candidate will be a proactive leader who can assess business needs, build strong relationships across the organization, and independently define a roadmap for delivering high-value insights. The Director will be responsible for building scalable analytics capabilities, mentoring talent, and embedding a culture of data-driven decision-making across the organization. Essential Job Functions Advanced Analytics & Modeling: Lead the development of advanced analytics solutions including predictive models, financial forecasts and scenario analyses that directly inform enterprise decision-making. Translate complex data into actionable insights that support strategic planning, capital allocation, and operational execution. Partner with business leaders and cross-functional stakeholders to identify high-impact opportunities for data science to drive value. Financial Modeling & Decision Support: Enhance financial modeling efforts by integrating predictive analytics techniques that improve forecasting accuracy, scenario planning, and risk assessment. Collaborate with Finance and Strategy, and other business units to develop scalable, data-driven tools that support capital planning and long-range decision-making. Introduce innovative approaches that modernize financial insight generation and align with enterprise planning needs. Geospatial Intelligence: Integrate geospatial data and tools into analytics workflows to support infrastructure planning, market analysis, and risk assessment. Guide the development of GIS-enabled dashboards and decision-support tools. Technology Integration & Enablement: Partner with cross-functional teams to ensure analytics solutions are aligned with enterprise technology platforms and digital workflows. Support the integration of data science capabilities into business systems and tools that enable automation, service delivery, and customer engagement. Contribute to the design and deployment of scalable analytics features within broader technology transformation initiatives. Work in close partnership with the VP, Enterprise Excellence to ensure analytics solutions are grounded in operational realties and aligned with enterprise improvement initiatives. Team Leadership & Development: Build, lead, and mentor a high-performing analytics team with diverse skill sets. Foster a culture of innovation, continuous learning, and analytical excellence. Define team priorities, performance metrics, and development plans. Demonstrate strong business acumen and executive presence by independently identifying opportunities, shaping the team's direction, and aligning efforts with enterprise priorities. Innovation & Best Practices: Stay current on emerging trends in data science, AI/ML, and geospatial analytics. Promote the adoption of modern tools, methodologies, and ethical data practices. Additional Duties: Handle additional duties as assigned by Management. Job Requirements Education: Bachelor's degree in Data Science, Statistics, Computer Science, GIS, Finance, Mathematics, or a related technical field is required. Master's degree or higher strongly preferred. Experience: 8+ years of experience in data science, analytics, or geospatial intelligence, with at least 3 years in a leadership role. Proven success delivering enterprise-scale analytics and financial modeling solutions in complex, multi-functional environments. Experience working directly with executive leadership and influencing business strategy through data insights. Skills: Expertise in programming languages such as Python, R, SQL, and geospatial tools for data manipulation and modeling. Advanced skills in data visualization tools such as Tableau, Power BI, or equivalent platforms. Strong financial modeling skills, including scenario planning and ROI analysis. Strong business acumen with the ability to translate data into strategic recommendations. Excellent communication and presentation skills, capable of engaging diverse audiences including senior executives. Ability to manage multiple priorities and complex projects in a fast-paced, high-growth environment. Proven problem-solving skills and intellectual curiosity. Travel: Travel is minimal but may be required up to 5% for collaboration or training purposes. Physical Demands and Special Requirements 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. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds. Additional Details Salary Range: $230,000-$250,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations) This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits. Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience and may fall outside of the range shown. #LI-GS1 #LI-Hybrid We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other's strengths and respecting each other's weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations. Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community. Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values. Vantage Data Centers is an Equal Opportunity Employer Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers. We'll be accepting applications for at least one week from the date this role is posted. If you're interested, we encourage you to apply soon-we're excited to find the right person and will keep the role open until we do!

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology. Benchling's mission is to unlock the power of biotechnology. The world's most innovative biotech companies use Benchling's R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science. ROLE OVERVIEW We are seeking a highly skilled and enthusiastic Solutions Consultant with expertise at the intersection of complex software systems and the IT and Data Science landscape within enterprise life sciences R&D. In this role, you will be instrumental in partnering directly with our customers to understand their unique IT infrastructure, data workflows, and analytical needs. You will leverage your technical expertise and understanding of Benchling to design impactful and practical solutions that streamline their operations, accelerate data-driven discovery, and contribute to the biotech software and AI revolution. This is an exciting opportunity to work closely not just with our customers but also our engineering, security, and product teams to shape the future of scientific software. RESPONSIBILITIES Identify IT & Data Science Pain Points and Define Key Success Metrics: Engage deeply with IT leaders, data scientists, and bioinformatics specialists at biotechnology companies to understand their critical pain points related to software systems, data management, and analysis, and collaboratively define key metrics to measure the success of Benchling in addressing those challenges Engage with Solutions Consulting Peers: Work closely with R&D and Business Value solutions consultants to ensure cohesive and comprehensive solutions are presented to customers, addressing both scientific and strategic business needs Design and Showcase IT Integrations and Data Pipelines: Architect and demonstrate cloud-based integrations between Benchling and other enterprise IT systems (e.g., LIMS, ELN, ERP) and develop data pipelines to facilitate data sharing, analysis, and reporting for data science teams Collaborate on Data Science Focused Features: Partner closely with engineers and product managers to define, prioritize, and execute on new Benchling features and integrations that specifically address the requirements of data scientists and bioinformaticians Enable Complex Enterprise Deployments with IT & Data Science Focus: Collaborate with Professional Services and Customer Success teams to ensure successful and scalable rollouts of Benchling at large enterprise customers, with a specific focus on integrating with their existing IT infrastructure and enabling data science (AI/ML) workflows Develop Targeted Messaging for IT & Data Science Audiences: Partner with Sales and Marketing to develop compelling pitches and materials that highlight Benchling's value proposition for IT departments and Data Science teams within the evolving biotechnology landscape Contribute to IT & Data Science Best Practices and Product Development: Participate in and contribute to initiatives focused on developing best practices for integrating Benchling within complex IT environments and shaping the product roadmap to better serve the needs of IT and data science users QUALIFICATIONS Bachelor's degree in Computer Science, Information Technology, Data Science, Bioinformatics, or a related technical field (advanced degree preferred). 5+ years of direct experience working with complex software systems, with a strong emphasis on cloud-based, enterprise-scale IT infrastructure, data management, and data analysis within the life sciences R&D space, including experience in developing or working with APIs in Python or R. Excellent at listening to diverse stakeholders (including IT professionals, data scientists, and scientists) and expressing technical ideas clearly Great at understanding the needs and challenges of both technical and scientific users, and quickly grasping complex scientific and technical concepts Proven ability to partner effectively with engineering and security teams to solve challenging technical problems related to software integration, data pipelines, and system architecture. Curious, creative, and tenacious, with a passion for leveraging technology to solve complex problems in life sciences Excited to collaborate with customers as a trusted technical advisor Ability to travel approximately 20% SALARY RANGE Benchling takes a market-based approach to pay. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the base salary range is $119,000 to $175,000. However, because this role is eligible to participate in Benchling's commission plan, it is common for employees in this role to receive total on-target earnings of $148,750 - $218,750. Total Compensation includes the following: Competitive salary and equity Broad range of medical, dental, and vision plans for employees and their dependents Fertility healthcare and family-forming benefits Four months of fully paid parental leave 401(k) + Employer Match Commuter benefits for in-office employees and a generous home office set up stipend for remote employees Mental health benefits, including therapy and coaching, for employees and their dependents Monthly Wellness stipend Learning and development stipend Generous and flexible vacation Company-wide Winter holiday shutdown Sabbaticals for 5-year and 10-year anniversaries #LI-Remote #BI-Remote #LI-DNP Benchling welcomes everyone. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance. Please be aware that Benchling will never request personal information, payment, or sensitive details outside of Greenhouse or via email. All official communications will come from an @benchling.com email address or from an approved vendor alias. If you are contacted by someone claiming to represent Benchling and are unsure of their legitimacy, please reach out to us at recruiting-fraud-alert@benchling.com to verify the communication.

The job profile for this position is Data Science Advisor, which is a Band 4 Contributor Career Track Role with Cigna-Evernorth Services Inc. Responsibilities- Utilize predictive modeling, segmentation, and machine learning methods to develop technical solutions to increase revenue and margins and provide thought leadership for advanced analytic projects and solutions. Work on projects from inception to delivery. Work with senior leaders and business partners (Technology, Clinical, Operations, etc.) to develop new predictive, forecasting, and natural language processing ("NLP") models. Perform data mining by applying machine learning and supervised learning algorithms. Support advanced analytical and data mining efforts including clustering, segmentation, logistic and multivariate regression, decision trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysis. Visualize, interpret, report, and communicate data findings in various formats using Tableau and ggplot. Hybrid work schedule. The salary for this position is $123,456.43 per year and this role is eligible for standard company benefits. Qualifications- Requires a Bachelor's degree or foreign equivalent in Data Science, Business Analytics, or a closely related field and 3 years of IT experience. Must have experience with: R; SQL; Python; Pyspark; regression; decision trees; support vector machines; random forests; neural networks; Oracle; Teradata; SQL Server; Hadoop; Tableau; and ggplot. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 105,300 - 175,500 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group. About The Cigna Group Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

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.

Job title: Summer-Fall 2026 Co-Op- Data and Computational Science, mRNA Center of Excellence- Vaccine Location: Waltham, MA About the Job Join Sanofi's mRNA Center of Excellence (mRNA CoE) as a Co-op in the Data and Computational Science (DCS) department, supporting the CMC Data Science group. This role focuses on developing first-principle and machine learning (ML) models for unit operations such as Tangential Flow Filtration (TFF) and Chromatography in process development. You'll gain hands-on experience with mRNA technology and unit operations, while applying modeling techniques in a non-GMP laboratory setting. This is a unique opportunity to contribute to cutting-edge biopharmaceutical research and innovation We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world. Main Responsibilities: Collaborate with your supervisor to develop first-principle and ML models for various unit operations, including TFF and Chromatography. Investigate the impact of process parameters on product quality attributes and quantify associated uncertainties. Design model-based Design of Experiments (DoE) for model structure selection and parameter optimization About You Basic Qualifications: Currently enrolled and pursuing a bachelor's degree, master's degree, or PhD in Biology, Chemical or Biochemical Engineering, Computer Science, or a related field at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028 Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship Must be authorized to work in the US for the duration of the co-op Preferred Qualifications: Foundational knowledge of mRNA technology. Experience with ML, first-principle, or hybrid dynamic modeling. Familiarity with mathematical and modeling tools such as Python (scikit-learn), Julia, MATLAB, PYOMO, or gPROMS. Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Exposure to cutting-edge technologies and research methodologies. Networking opportunities within Sanofi and the broader biotech community. The salary range for this position is $29-$60 hourly. All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through LINK. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SP #LI-SP #LI-Onsite #vhd #mRNa Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. About the Role Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Customer Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of our customer experience and to drive the company's commercial performance.We are looking for a hands-on, experienced manager to lead a team of data scientists and business analysts, acting as a trusted partner to our sales, marketing, and product stakeholders helping them answer the most critical business questions. Reporting to the Director of Commercial Data Science & Analytics, this role manages multiple areas of work and plays a critical part in driving key strategies and decisions on how to improve sales, customer acquisition, retention, and growth.This is a job for a full-stack data scientist with leadership skills and significant experience in stakeholder management and project management. You are expected to not just react to needs/asks but also actively identify opportunities to move the needle in meaningful ways, in collaboration with a diverse set of cross-functional partners across product, sales, B2B Marketing, engineering, finance, and others. What you'll do Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation. Develop data and analytics strategies that are aligned with goals and priorities in the assigned business areas. Partner closely with stakeholders to understand/clarify needs and requirements, and work with team members to conduct analysis and/or develop data science solutions to address the needs. Work with large and complex data sets to solve a wide array of challenging problems using different data science methods including but not limited to regression, classification, time series, cluster analysis, and advanced machine learning algorithms. Create trusted analytic data layers that serve as the single version of truth and enable wide access to key data and metrics. Build and continuously improve reporting capabilities (e.g., Tableau dashboards) that provide self-serve access to valuable insights about the business and empower decision making. Carry out deep-dive analysis to explain observations and trends. Build data science models to surface actionable insights from large and complex data, predict trends or customer propensity, and optimize operations and resource allocations. Design and execute experimentation to test business hypotheses, prepare test readouts, and provide data-driven recommendations. Prepare deliverables and regularly present work to technical and non-technical audiences. You will convince and influence leaders using clear insights and recommendations, and build credibility through structure and clarity. Build strong partnerships with a wide range of cross-functional stakeholders and actively identify and unlock opportunities to improve business performance with data and analytics. Closely collaborate across the Customer Data Science & Analytics organization to ensure broad adoption of data science and analytics initiatives to drive value across the entire customer business. What you'll bring We are looking for a player-coach leader who's intellectually curious, passionate about solving complex business problems using data and analytics, and is able to move fast while maintaining focus on high-impact projects. Minimum Qualifications Bachelor's degree, ideally in a quantitative field (e.g., Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science, Computer Science). 6+ years of professional experience in data science and analytics, with 2+ years experience managing people. SQL fluency is a must, with 5+ years of experience. 3+ years of experience using a scripting language like Python or R. Significant experience with experimentation in a business context, including test design, execution, tracking and analysis of results, and readout/recommendations. Strong communication skills for stakeholder engagement and team leadership. Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. Experience in collaborating with cross-functional partners. Experience managing multiple priorities and adapting to changing business needs. Preferred Qualifications Master's or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background. Experience with cloud-based data environments such as Snowflake and AWS. Experience building and managing analytic data layers. Knowledge of ETL processes, data environments, data governance principles, etc. Knowledge of DBT, Airflow, and Snowflake preferred. Experience in leading reporting/data visualization capabilities (using Tableau or similar tools). Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting. Demonstrated ability to develop a roadmap for complex technical initiatives and effectively communicate progress against that roadmap. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Department AI Data Science 4 Everyone About the Department Data Science 4 Everyone (DS4E) is a national initiative working to catalyze the adoption of data science and data literacy as a fundamental component of K-12 education. Incubated at the University of Chicago Center for RISC and popularized by the 2019 Freakonomics podcast America's Math Curriculum Doesn't Add Up, DS4E is quickly expanding our dedicated team at the University of Chicago, striving to teach students the basics of modern data across school subjects and grade levels. In just 4 years, DS4E has catalyzed support for data science education in 32 states and counting, hundreds of schools, and with numerous national partners. As a field catalyst, DS4E builds awareness with local, state, and national leaders; centralizes and disseminates resources; hosts convenings and communities of practice; creates unique partnerships to support educators across the country; and helps schools and districts design new K-12 programs for all students. Job Summary DS4E is seeking a Deputy Director to guide the organization through its next chapter of growth and impact. We're looking for a leader who is passionate about bridging the country's digital divide, cares deeply about the structures and practices that make a nonprofit thrive, and brings a systems lens to building internal strength while advancing an ambitious external agenda. This individual will draw upon a diverse set of experiences in the education sector to identify new focus areas or refine existing ones, continuously shape DS4E's role in a dynamic and fast-evolving field, and rigorously evaluate what is working and what is not. As the team enters an important new phase of growth and formalization, the Deputy Director will play a key role in ensuring coherence across strategy, structure, and execution, including with new organizational structures. A thought partner and operational leader, this person will regularly collaborate with DS4E's Executive Director, funders, and team to co-develop strategy and then translate it into focused plans, clear priorities, and systems that support strong delivery. They will foster internal cohesion, manage cross-team execution, and help build a sustainable foundation for DS4E's continued influence in education, policy, and innovation. The Deputy Director will report directly to the Executive Director of DS4E. The following team members will report to the Deputy Director: the Instructional Director, Policy Director, and Partnerships Manager. Additionally, the Strategic Initiatives Manager may also report to the Deputy Director. This structure is designed to support coherent leadership across DS4E's key functional areas while enabling the Executive Director to focus on external relations, fundraising, and high-level strategy. Responsibilities Serves as the internal anchor for a fast-growing, distributed team, connecting workstreams and reducing fragmentation. Manages and mentors team leads, supporting them to grow as people managers and confident decision-makers. Fosters a collaborative, inclusive culture that balances autonomy with shared accountability. Partners with the Executive Director to translate vision into clear organizational priorities and multi-year strategies. Leads annual and quarterly planning processes, ensuring staff are aligned on goals and how they'll get there. Evaluates new opportunities against mission, capacity, and timing, making tough calls when needed. Ensures timely, transparent communication across teams and leadership, avoiding silos and confusion. Steps in to make high-leverage decisions when needed, especially in moments of ambiguity or urgency. Helps the team balance responsiveness with focus, knowing when to move quickly and when to hold the line. Builds and maintains lightweight, effective systems to track timelines, budgets, deliverables, and capacity. Oversees the execution of major cross-functional efforts, such as assessment roadmap, development of an independent organizational entity, ensuring scalable systems and infrastructure are in place to support long-term growth. Leads cross-functional coordination by partnering with the Operations Manager to ensure finance and grant processes facilitate execution. Provides oversight of floating grant accounts, stewards the evolution toward a hybrid operating structure, and builds systems to monitor financial data, project timelines, and initiative progress, supporting teams to stay focused, aligned, and well-resourced. Develops and administers program budgets and recommends or makes budgetary recommendations. Serves as a key resource for program information. Resolves problems or questions referred by program staff, University administrators, or other contingencies. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline. Certifications: -- Preferred Competencies Familiarity with the K-12 education landscape, including experience working within or alongside schools, districts, or state agencies, such as through roles in publishing, education nonprofits, or other mission-aligned organizations. Proven track record leading teams or departments in mission-driven settings, such as nonprofit, education, or social impact organizations, particularly through periods of organizational growth, strategic change, or increasing operational complexity. Leading and developing individuals at all levels, with a track record of cultivating emerging leaders through structured support, clear communication, and intentional team-building practices. Demonstrated success designing and implementing systems for project planning, team coordination, budgeting, and grant management, including restricted and unrestricted funding. Skilled communicator with a track record of translating strategy and priorities across internal teams and external stakeholders such as funders, education leaders, and policymakers. Evidence of sound judgment and strategic prioritization, including the ability to assess tradeoffs, say no when needed, and focus an organization on high-impact work. Comfortable operating in fast-paced, ambiguous environments, with a disciplined approach to managing multiple priorities and aligning team efforts. Recognized for a leadership style rooted in humility, clarity, and trust, with a service-oriented approach to collaboration. Working Conditions 100% remote work. Occasional travel, including nights and weekends. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Administration & Management Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $120,000.00 - $140,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.