Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

R2Net is a diamond and jewelry company with a technology soul. As a subsidiary of Signet, R2Net manages both the Blue Nile and James Allen brands while providing innovative e-commerce and supply-chain platforms to the diamond industry as a whole – including manufacturers, retailers, and consumers. As Senior Manager- Data Science, you will build out best-in-class modeling and analytical capabilities across R2Net, shortening the critical path between measurement and action. During the past decade, R2Net has invested in a rich ecosystem of versatile data assets, and you will now be charged with transforming that data into value for the organization. To achieve this, you will oversee the development and deployment of models across a wide range of functional areas – including Finance, Operations, Marketing, and Customer Service – and will design and implement dashboards, reports, and visualizations to make the team’s results understandable for business users across the company. Working with a mix of Data Engineers, Analysts, and Data Scientists, you will design statistically rigorous experiments and scalable A/B testing frameworks, implement algorithmic recommendation models, and conduct forecasting, clustering, and regression analyses. To ensure that the analytic and modeling work of the team achieves broad & effective usage, you will also have core ownership of reporting and dashboarding, thought leadership, and the mentoring & training of associates – your expertise will keep our analytics pipeline focused not only on model optimization, but on true business impact. By seamlessly translating between the business and data domains, you will solve problems in the realms of pricing, forecasting, supply-chain management, digital measurement, and assortment optimization – all while working to grow the overall analytical skills of the organization. You will be equally at home working with senior stakeholders, designing technical requirements for our Engineers and Data Scientists, and engaging with the data itself. These competencies will allow you to establish cutting-edge analytic processes through the org, and your leadership abilities, analytic acumen, and technical proficiency will help you embed a data-driven culture into all of R2Net’s key decision-making pipelines. Core Responsibilities: Data Scientific Modeling: Design and construct predictive models and analytic decision-making pipelines, turning raw data into action-recommendations for users across R2Net Reporting: Build, support, and maintain a wide range of dashboards and reports, ensuring that each asset features rigorous analytic approaches and strong visual design Experimentation: Conduct experiments in pricing, marketing, website design, and user recommendations, building rigorous A/B testing frameworks and strong causal inference models Culture: Guide the analytic culture of the organization by training & mentoring associates, establishing communities of practice, and creating data governance standards for R2Net Data: Take ownership of the structure, availability, completeness, and accuracy of R2Net's data, ensuring that each component of our analytic processes can be trusted and relied upon. Insights: Fulfill ad-hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders. Requirements Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or a related field 8+ years in analytics, BI, or data science, with 3–5 years of direct team leadership. Expert-level fluency in both SQL and Tableau, with the ability to communicate these skills to others. Proven experience leading analytics strategy at scale, preferably across multiple business units. Demonstrated ability to manage managers and multi-disciplinary teams. Broad experience across a wide variety of analytic domain spaces (revenue management, assortment, forecasting, digital optimization, segmentation, etc). Excellent relationship management, communication, and data-presentation skills, including a strong eye for the creation of compelling visual narratives. The ability to take initiative, act independently, and function under ambiguity. A penchant for innovation. Helpful, but not required: Experience with Snowflake and associated tools Familiarity with data engineering pipelines and systems (dbt, airflow, etc) Hands-on data-scientific modeling experience in R or Python Knowledge of best-practices in data-governance and data-security Exposure to database administration principles and schema design Competency in Agile-based approaches and frameworks Benefits At R2Net- James Allen & Blue Nile, many of our roles offer a high-quality, comprehensive benefits package including healthcare, paid time off, retirement planning and opportunities for career advancement. Some offerings are dependent upon the role, employment type, work schedule or location: Paid time off Medical, Dental, Vision and Prescription Insurance 401(k) Retirement Plan with company match Flexible spending account Health savings account Tuition Reimbursement Employee discount Parental leave Life insurance Annual base pay: $130,000 - $170,000. Final pay rate shall be determined and is based on experience and qualifications. At this time, R2Net will not sponsor a new applicant for employment authorization for this position. Additional Information: R2NET INC. is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status or any other basis prohibited under applicable federal, state or local law. R2NET INC. will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. #LI-WK1

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we’re redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. About the Role We are seeking a highly strategic and execution-focused Director of Data Science and AI Automation to lead our data intelligence, machine learning, reporting, and automation ecosystem. This role will own the full lifecycle of data-driven decisioning, from ML model development to real time reporting to process automation using tools like n8n, Make.com, Azure Functions, and vibe-coding frameworks. You will oversee a multidisciplinary team spanning Data Science, Analytics Engineering, Automation Engineering, and ML Ops. You will partner closely with Engineering, Product, Operations, and Executive Leadership to build scalable, intelligent capabilities that directly improve business outcomes, drive automation, and enable AI powered experiences across the organization. Key Responsibilities 1. Data Science & Machine Learning Lead end to end development of predictive models, personalization engines, risk scoring, forecasting, and optimization frameworks. Oversee ML architecture, feature stores, pipelines, model retraining, validation, monitoring, and governance. Implement production grade ML Ops aligned with real time decisioning layers (Azure, Databricks, event-driven triggers, IOE). Build a roadmap for intelligent automation and generative AI powered capabilities. 2. Analytics, Reporting & BI Own the reporting and analytics stack across the company (Power BI, Snowflake, Databricks, APIs, data ingestion). Deliver executive dashboards, operational reporting, forecasting tools, and KPI measurement frameworks. Partner with Data Engineering to define data models, semantic layers, governance, quality checks, and observability. 3. Automation & Workflow Orchestration Lead design and deployment of automation initiatives using n8n, Make.com, Azure Logic Apps, Zapier, and custom Python workflows. Automate high value internal workflows across Operations, Care, Sales, Finance, and Engineering. Implement "vibe coding" automations, lightweight, rapid build, human in the loop AI automations that accelerate internal productivity. Drive adoption of event driven and AI-assisted process automation frameworks. 4. Leadership & Strategy Build and mentor a high-performing team of data scientists, ML engineers, BI analysts, and automation developers. Establish standards for experimentation, documentation, reproducibility, and operational excellence. Own the cross-company AI/automation roadmap, prioritization, resource planning, and execution. An advisor to executives on data strategy, AI capabilities, automation opportunities, and business impact. Qualifications 8+ years of experience in Data Science, ML, Analytics, or Automation roles, with at least 4+ years in leadership. Expertise in ML frameworks (Python, sklearn, PyTorch/TF, Databricks ML), modern BI environments, and automation tools (n8n, Make.com, Logic Apps, Airflow). Strong understanding of cloud ecosystems, Azure preferred (Event Hub, Service Bus, Functions, Databricks, APIM). Experience building automation and AI-powered workflows across operational departments. Proven record of owning a multi discipline team and delivering measurable business results. Excellent communication, stakeholder management, and executive facing leadership skills. Experience with generative AI, LLM integration, agentic workflows, or orchestration platforms. Strong understanding of data governance, compliance, security, and ML monitoring. Domain experience in healthcare, insurance, IoT, or consumer products is a plus Candidates must be authorized to work in the United States without current or future need for visa sponsorship. Must have the ability to work from our Philadelphia office on Tuesdays and Wednesdays. Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick Time Off & Holidays) Company Paid Short Term Disability and Life Insurance Retirement Plan (401k) with Company Match

DS position on a team in C323 supporting a project that leverages advanced AI techniques, including natural language processing, computer vision, and machine learning. The project streamlines the analysis of engineering documents, performs comprehensive system decomposition, and identifies potential vulnerabilities. The framework provides a holistic approach to understanding, managing, mitigating cybersecurity risks, but integrating mission and system decomposition, software bill of materials analysis, and enriching vulnerability discovery capabilities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.This role will act as a key leader of the DSA Product Development team. This role is responsible for providing data science expertise and resources necessary to build market-leading data products and analytic solutions on the Credit Risk Solutions (CRS) and Consumer roadmaps. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the “how”) to achieve objectives defined by Global Solutions stakeholders (the “what”). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across GTDA and Solutions. What You'll Bring: 15+ years’ experience in data science and analytics Masters degree strongly preferred Technical Skills : Advanced programming skills and aptitude; mastery of statistical programs such as R or Python; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools. Functional Skills : Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies : Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. Impact You'll Make: Develop generic scores, attributes, and other analytic solutions on the CRS and Consumer roadmaps, supporting all stages of the PDLC Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Proactively analyze alternative data assets and machine learning methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the CFLT and related Councils, advocate for innovative solution designs and approaches to enhance TransUnion’s long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 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 $193,500.00 - $406,500.00 *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: VP, Data Science and Analytics Company: TransUnion LLC

Associate Scientific Editor, Electrical Engineering or Data Science Are you super organized, skilled at planning? Do you have great reporting skills? About our team iScience is a peer-reviewed journal from Cell Press that provides a platform for original research in the life, physical, earth, social, and health sciences. We aim to fuel interdisciplinary thinking and consider research with significant contribution to a relevant field combined with robust results and underlying methodology. About the role We are seeking an editor with strong background in Electrical Engineering or Data Science to join our editorial team. In this role, you will help shape the journal by managing submissions, coordinating peer review, and engaging with the scientific community. You will work closely with a collaborative team dedicated to advancing open science and interdisciplinary research. We are looking for someone with a strong background in electrical engineering or data science, with excellent communication and organizational skills, and the ability to evaluate research critically while working effectively in a team. At iScience, we value diversity, equity, and inclusion. We welcome applicants from all backgrounds and experiences. If you bring curiosity, commitment, and a passion for science, we encourage you to apply—even if you do not meet every requirement. Please submit your CV and a cover letter explaining your interest in the role and how your skills and experience will contribute to iScience. Responsibilities Reviewing, evaluating, and providing constructive feedback on submitted manuscripts and research papers in electrical engineering, data science, machine learning, and related fields. Providing outstanding author service and overseeing the peer review process. Establishing relationships with scientists in physical science area through outreach to research communities and recruit exciting papers. Traveling to scientific conferences and visit academic institutes. Strengthening and building the visibility and reputation of the journal. Contributing to strategic planning and journal development with the editorial team. Building effective working relationships with colleagues across Cell Press and beyond. Contributing to broader Cell Press initiatives to shape the future of science communication . Requirements The ideal candidate will have a PhD degree in Computer Science, Data Science or Electrical Engineering field, with strong hands-on experience in coding, algorithm development, engineering principles, and analytical skills. Have research experience in a relevant field and a broad scientific interest, with a track record of peer-reviewed publications. Previous editorial experience, with a good understanding of all aspects of the journal publishing process, would be an added advantage but not an requirement. Utilize critical thinking and the willingness to learn and absorb new areas of research. Have teamwork and interpersonal skills with a collaborative problem-solving mindset. Interest in engaging with the scientific community. Able to work successfully both independently and in a diverse global team. Have a natural ability to engage, influence and build relationships with stakeholders, teams and our community. Have permit to work full time in US. This job will be US based hiring only. U.S. National Base Pay Range: $59,200 - $98,600. Geographic differentials may apply in some locations to better reflect local market rates. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you’ll do as a Senior Data Scientist, Football Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team . What you’ll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine. The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data (“RWD”) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. 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. #jrdds #JNJDataScience #LI-Remote #LI-GR Required Skills: Preferred Skills: The anticipated base pay range for this position is : $137,000 - $235,750 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.

Who we are looking for: We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML science team as part of the Agentic AI platform buildout. The Science pillar advances LLM research, fine‑tuning, evaluation frameworks, anomaly detection, and frontier model development—partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features. This role will focus on applied research and product-oriented data science requirements – designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics and operationalizing fine-tuning/tooling for business use cases. What you will be responsible for Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs LLM research and fine-tuning including evaluating foundational models, fine-tuning and prompt optimization with robust data curation and governance alignment Evaluation frameworks & taxonomies and Frontier model evaluation and buildout Develop and maintain knowledge graphs and embeddings for semantic search and reasoning Inference engine for scalable, low latency serving for tuned models, agentic workflows and cost optimization Collaborate with engineering teams to deploy scalable AI solutions in production environments. Conduct experiments and evaluations to benchmark model performance and ensure robustness Opportunity to Research, document and socialize Education & Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. 5+ years of experience in applied machine learning or NLP. Hands-on experience with LLM’s, GenAI or NLP at production scale Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction. Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn). Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices. Prior work on agentic AI is a big plus Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ. Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit https://hrportal.ehr.com/statestreet/Home . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Job Application Disclosure: 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.

About Us: Real Salt Lake, Utah Royals FC, Real Monarchs, and the RSL Academy are united by a shared mission of winning together through development. We are committed to building world-class teams by investing in people—developing players, staff, and leaders through collaboration, innovation, and a high-performance culture. If you’re passionate about sport, science, and leadership, we invite you to grow your career with Utah Soccer. Summary: The Director of Data Science & Performance Innovation leads a fully integrated high-performance data and sports science function across MLS, NWSL, MLS NEXT Pro, and Academy pathways. This role oversees all sports science operations, performance analytics, applied biomechanics, and data infrastructure, ensuring alignment of methodology, technology systems, and reporting standards across the organization. This position plays a critical role in supporting player availability, long-term development, and evidence-based decision-making by unifying performance data, monitoring practices, and return-to-play frameworks across men’s, women’s, and youth programs. The ideal candidate is a strategic leader with deep applied experience who can translate complex performance data into actionable insights while building scalable systems and developing high-performing staff. Responsibilities Include: · Lead and implement a club-wide data science and performance innovation strategy across Real Salt Lake, Utah Royals FC, Real Monarchs, and the RSL Academy, ensuring vertical alignment across MLS, NWSL, Next Pro, and Academy pathways. · Establish standardized methodologies for physical monitoring, testing protocols, biomechanics assessments, data collection, and reporting across all teams. · Oversee all sports science operations, including GPS/optical tracking, heart-rate monitoring, force plates, neuromuscular diagnostics, and speed-power testing, ensuring high-quality data and actionable insights. · Provide applied biomechanics leadership, supporting movement analysis, asymmetry profiling, deceleration mechanics, and sport-specific performance optimization across men’s, women’s, and youth athletes. · Design and maintain a centralized performance data infrastructure, overseeing data ingestion, cleaning, storage, and integration to ensure data integrity and accessibility. · Direct performance analytics and reporting, including dashboard development, benchmarking, workload modeling, longitudinal tracking, and applied machine learning initiatives. · Collaborate closely with medical and reconditioning teams to implement unified return-to-train and return-to-play (RTP) frameworks informed by biomechanical, readiness, and exposure data. · Translate complex data and scientific insights into clear, actionable decision support for coaches, medical staff, sporting leadership, and executives. · Lead, mentor, and develop sports science and performance analytics staff, including performance reviews, professional development planning, and seasonal staffing alignment. · Facilitate cross-department collaboration, ensuring alignment between sports science, strength & conditioning, medical, coaching, and technical leadership. · Evaluate and integrate emerging technologies and research, driving continuous improvement and innovation across all performance environments. · Promote knowledge sharing and best practices across teams, ensuring insights from MLS, NWSL, Next Pro, and Academy environments elevate the entire organization. · Perform other duties as assigned. Minimum Qualifications: · Bachelor’s degree in Exercise Science, Sports Science, Data Science, Biomechanics, or a related field. · CPSS certification required. · Minimum of 5 years of applied experience in elite football or comparable high-performance environments. · Advanced proficiency in R, Python, SQL, and data visualization platforms (Power BI, Tableau, Looker, or similar). · Extensive experience with GPS/optical tracking, heart-rate monitoring, force plates, neuromuscular diagnostics, and speed profiling. · Strong applied biomechanics expertise. · Demonstrated experience leading and managing multi-team or multi-disciplinary performance staff. · Exceptional communication skills with the ability to present complex information clearly to diverse audiences. · Proven experience managing, mentoring, and developing high-performance staff, including setting expectations, providing feedback, and supporting professional growth. · Ability to lead within complex, multi-team environments while maintaining alignment, trust, and accountability. Preferred Qualifications: · Master’s degree or PhD strongly preferred. · Experience leading integrated high-performance systems across men’s, women’s, and youth pathways. · Familiarity with machine learning concepts and applied modeling in elite sport. · Background in strength & conditioning, physiotherapy, biomechanics, or data engineering. · Experience designing large-scale performance data ecosystems and reporting infrastructures. Physical Demands & Environment: The job requires regularly lifting/pushing up to 10 pounds and occasionally lifting/pushing more than 25 pounds or exerting heavy force, in a wide disparity or environmental conditions. The job involves standing, stooping, bending, lifting, pushing, typing, etc. The Club provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Note: The need may arise to revise, supplement, or rescind portions of this job description, and the Club reserves the right to do so at any time. Employees shall be required to meet the qualifications and perform the duties of any revised job description.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health – Ophthalmology. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25% domestic and international travel. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . Role Summary We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for ophthalmology . This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact.You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with ophthalmic disorders. Key Responsibilities Define and execute the data science and digital health strategy for ophthalmology , integrating computational biology, AI/ML, digital health, and clinical/RWE insights. Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets. Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways. Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery. Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment. Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven science. Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational scientists to deliver on strategic initiatives. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required. 7+ years of experience as a people manager is required. Experience in clinical development with demonstrated expertise in ophthalmology preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required. Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification. Track record of scientific contributions (presentations and publications) in this field is required. Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required. Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus. Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required. This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). • Employees are eligible for the following time off benefits:• Vacation – up to 120 hours per calendar year• Sick time - up to 40 hours per calendar year• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year• Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL#JNJDataScience#JNJIMRND-DS#JRDDS#LI-Hybrid Required Skills: Preferred Skills:

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s Data Science experts develop AI and data-driven solutions to tackle hard to solve challenges in semiconductor process and fab technology development. The team plays a key role in enabling intelligent automation and decision-making across Micron’s portfolio Responsibilities Own the creation of AI systems optimizing semiconductor design, product engineering, verification & validation, and manufacturing workflows using large-scale data. Architect and implement Agentic AI systems that integrate with Modeling tools, EDA tools, design environments, and product/manufacturing test platforms to automate tasks such as spec translation, design verification, product validation, and test log root cause analysis for components and system-level products. Establish and promote Best Known Methods (BKMs) for deploying LLMs and agentic systems in live environments, ensuring reliability, efficiency, and maintainability. Benchmark and evaluate model performance using structured evaluation frameworks, and continuously refine models through timely tuning, RLHF, and feedback loops. Collaborate with multi-functional teams—including process engineers, design engineers, product and test engineers, and data scientists—to define high-impact problem statements and deliver scalable AI solutions. Communicate technical insights and solution strategies clearly to both technical and non-technical team members through compelling data storytelling and visualizations. Minimum Qualifications Must have a Master’s, PhD, or equivalent experience in Electrical Engineering, Computer Science, or a related field. Proficient in Python, with five years of experience working with a variety of semiconductor design & process datasets. Proficient in using enterprise data platforms like Snowflake, BigQuery, MSSQL, Oracle, and AWS Redshift for scalable data processing and analysis. Hands-on experience building and leading AI/ML projects involving LLMs, RAG, and Agentic workflows deployed, demonstrated expertise in ML frameworks such as PyTorch or TensorFlow. Solid understanding of domain-adapted LLM training with practical experience, including pretraining, post training on in-domain synthetic datasets, and model quantization for efficient deployment Must have shown cloud platform experience such as GCP, AWS, or Azure, including deployment of ML pipelines in production environments. Familiarity with LLM evaluation and benchmarking techniques, including RLHF, timely tuning, and reward modeling for hardware-aware use cases. Consistent track record to independently drive AI/ML projects from problem prioritization through deployment in semiconductor environments. Excellent interpersonal experience with the ability to collaborate with process technology, silicon design, design verification, validation, and product engineering teams, and translate sophisticated AI/ML concepts into actionable solutions for hardware development. Preferred Qualifications Experience includes direct application of AI/ML to semiconductor design, processing, workflows. Deep understanding of semiconductor-specific AI/ML applications. Experience with CI/CD pipelines and MLOps practices for ML/LLM deployment. Strong understanding of agentic AI frameworks (e.g., LangGraph, AutoGen) and evaluation tools (e.g., AgentEval). Shown proficiency in translating sophisticated technical concepts into actionable insights for multi-functional teams! The US base salary range that Micron Technology estimates it could pay for this full-time position is: $165,000.00 - $360,000.00 a year Additional compensation may include benefits, bonuses and equity.Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

About This Role: The Associate Director, Data Science & AI holds a crucial position within our Data Science team, spearheading the creation of cutting-edge modeling solutions that facilitate strategic business decisions across Marketing, Medical, Sales, and Access. In this role, you will lead impactful data science projects focusing on marketing optimization, patient-level predictive analytics, machine learning-based personalization, and strategies to enhance field force effectiveness. As a key contributor, you will drive initiatives while collaborating with cross-functional teams to ensure that data outputs are not only actionable and accurate but also scalable and aligned with brand priorities. Your role as a thought partner to commercial leadership will involve advocating for the use of data and AI to deliver substantial business value. You will fit into our business structure as an integral part of the team, contributing to the growth and innovation of our data-driven strategies. What You’ll Do: Execute the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps and commercial priorities. Lead the end-to-end development, deployment, and scaling of data science solutions, including predictive models and advanced NLP and LLMs. Collaborate with IT on the design of ML Ops and Dev Ops, building data science and AI as products. Act as a trusted partner to insights and marketing teams, demonstrating rigor and knowledge in data science algorithms. Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks. Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows. Provide technical expertise and thought leadership on the development of analytical tools and proprietary data products. Promote analytical rigor, responsible experimentation, and model governance best practices. Collaborate with a high-performing team of data scientists, encouraging learning and experimentation. Design and operationalize Next Best Action strategies using machine learning to optimize field force effectiveness. Develop and scale Patient 360 models and predictive targeting algorithms to support AI-driven lead generation. Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation. Manage relationships with external analytics partners, ensuring alignment with internal teams for solution delivery. Who You Are: You are a data scientist with strong methodological expertise and business acumen, possessing a leadership presence and a passion for tackling ambiguous challenges. You excel at the intersection of data science and actionable insights, building scalable machine learning pipelines that inform strategic decisions. As a functional expert, you also enjoy guiding and mentoring team members, fostering collaborative problem-solving environments. Your understanding of responsible AI principles and standards complements your technical proficiency, making you an ideal candidate for this role. Required Skills: Minimum 7 years of hands-on analytics or data science experience, including at least 4 years leading data science product builds, teams, or programs. Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting. Strong experience in marketing mix, portfolio optimization, decision engine build, and Gen AI product design. Experience deploying data science solutions in a commercial setting, ideally within pharma, biotech, or healthcare. Proficient in Python, R, SQL, and Snowflake; experience with Power BI, Tableau, or other data visualization tools. Proven track record of designing and implementing Next Best Action strategies, marketing optimization models, and omnichannel analytics. Experience working with APLD, PlanTrak, specialty pharmacy, or claims datasets. Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams. Preferred Skills: Master’s degree in data science, Statistics, Engineering, Computer Science, Business Analytics, or related field. Job Level: Management Additional Information The base compensation range for this role is: $162,000.00-$223,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to: Medical, Dental, Vision, & Life insurances Fitness & Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

SWBC is seeking a talented individual to drive transformation through AI, advanced analytics, and cloud-based platforms. The successful candidate will play a pivotal role in shaping and executing data strategies that support business modernization, innovation, and operational excellence. Why you’ll love this role: At SWBC, you’ll be part of a forward-thinking team that’s redefining how data drives business success. As AVP, Data Scientist, you’ll lead transformative initiatives using AI, advanced analytics, and cloud technologies to shape the future of our organization. You’ll thrive in a collaborative, innovation-driven environment that values your expertise and empowers you to make a real impact. With access to professional development, internal mobility, and a culture that champions creativity and inclusion, this is more than a job, it’s a career with purpose. Essential duties include the following: Conduct advanced data analysis and develop predictive models to inform strategic decisions. Design and implement AI-driven solutions to enhance analytics and automation. Leverage Snowflake for scalable data warehousing and analytics. Architect and manage a centralized data hub to ensure data consistency and accessibility across the enterprise. Develop and enforce data governance frameworks to maintain data integrity, security, and compliance. Collaborate with cross-functional leaders to align data initiatives with business goals. Lead end-to-end delivery of data solutions, ensuring alignment with timelines and business requirements. Champion initiatives that modernize data infrastructure and enable digital transformation. Promote a culture of continuous improvement and exploration of emerging technologies. Utilize AWS intelligent platform services to build and deploy robust, scalable data solutions. Serious candidates will possess the minimum qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, or a related field is required. Minimum of ten (10) years in data science, with demonstrated expertise in AI, Snowflake, Unified Data Hub, and Data Governance. Certifications in one or more of the following is preferred; AWS Certified Data Analytics – Specialty, Certified Data Management Professional (CDMP), Snowflake SnowPro Core Certification, AI/ML certifications (e.g., TensorFlow Developer Certificate). Experience with Python, R, SQL, Java, Scala is required. Deep understanding of data science methodologies and best practices Proficiency in AI technologies and cloud platforms Strong business acumen and communication skills Proven leadership in technology delivery and project execution Experience with AWS services and data architecture SWBC offers*: Competitive overall compensation package Work/Life balance Employee engagement activities and recognition awards Years of Service awards Career enhancement and growth opportunities Leadership Academy and Mentor Program Continuing education and career certifications Variety of healthcare coverage options Traditional and Roth 401(k) retirement plans Lucrative Wellness Program *Based upon employee eligibility Additional Information: SWBC is a Substance-Free Workplace and requires pre-employment drug testing. Please note, SWBC does not hire tobacco users as allowed by law. To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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: Horsham, Pennsylvania, United States of America, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health – Therapeutics Development & Supply (TDS) This position can be located in Spring House, PA; Malvern, PA; Horsham, PA; or Beerse, Belgium. For candidate based in EMEA with interest in working in Beerse, please apply to requisition: R-047946 Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science – DPDS Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Summary Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing & Controls (CMC), Device Development, and Clinical Supply Chain. This organization ensures that every molecule, modality, and delivery system is robustly developed, scaled, and supplied under rigorous quality and regulatory standards. We are seeking a Global Head of Data Science & Digital Health – TDS to enable and embed AI/ML and advanced analytics into the core of drug development and supply. In close partnership with TDS teams and the broader DPDS organization, this leader will transform process design, scale-up, and clinical supply optimization into data-driven engines of speed, reliability, and compliance across all modalities—small molecules, biologics, and cell & gene therapies. By championing digital twins, predictive modeling, and GenAI-powered knowledge acceleration, this role will industrialize development processes and strengthen J&J’s leadership in innovative medicine through deep collaboration with TDS functions, JJT, and enterprise data/AI partners. Key Responsibilities Strategy & Portfolio Leadership: Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization. CMC, Product & Process Development: Enable scientists and engineers to build and expand scientific models by providing an ecosystem of tools, standards, and scalable capabilities. Support citizen data scientists and DOS teams within TDS through training and frameworks, ensure model governance and interoperability, and create pathways to scale models for broader utilization and reuse. Provide expert guidance and advanced data/modeling support where needed, while fostering collaboration across TDS modalities, DPDS, and the broader R&D organization. Device/Combination Product & Platform Engineering: Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability. Clinical Supply Chain Analytics: Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks. Platforms, Data & MLOps: Co-own with DOS and JJT the data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts. GenAI & Knowledge Acceleration: Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration. External Innovation & Partnerships: Scout and partner with academia/startups/CROs on cutting-edge discovery, development and manufacturing analytics. People & Community Leadership: Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency. Quality, Safety & Compliance: Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments. Qualifications Required: PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field. 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting. Demonstrated outcomes in process and analytical development or clinical supply analytics. Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES. Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Preferred: Experience across multi-modality portfolios (small/large molecules, cell & gene). Familiarity with GenAI/LLMs in R&D settings, agents, and AI deployments in a regulatory setting. Prior collaboration with External Innovation partners in development/manufacturing technologies. 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. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health – Neuropsychiatry. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25 % domestic and international travel. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . Role Summary We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for neuropsychiatry . This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact.You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with neuropsychiatric disorders. Key Responsibilities Define and execute the data science and digital health strategy for neuropsychiatry , integrating computational biology, AI/ML, digital health, and clinical/RWE insights. Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets. Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways. Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery. Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment. Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven neuroscience. Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational neuroscientists to deliver on strategic initiatives. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required 7+ years of experience as a people manager is required Experience in clinical development with demonstrated expertise in neuropsychiatry is preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required. Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification. Track record of scientific contributions (presentations and publications) in this field is required. Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required. Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus. Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required. This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). • Employees are eligible for the following time off benefits:• Vacation – up to 120 hours per calendar year• Sick time - up to 40 hours per calendar year• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year• Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL#JNJDataScience#JNJIMRND-DS#JRDDS#LI-Hybrid

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine. The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data (“RWD”) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. 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. #jrdds #JNJDataScience #LI-Remote #LI-GR Required Skills: Preferred Skills: The anticipated base pay range for this position is : $137,000 - $235,750 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.

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily. Job Summary This role will play a crucial role in supporting and advancing our business by translating data and analytics into business impact. This position is uniquely embedded within our Residential Services business unit, directly aligned to the company’s top strategic objectives and positioned to influence business strategy through hands-on partnership. The Lead Data Science Analyst is responsible for reporting and analysis capabilities to proactively generate insights that optimize strategic choices. This role collaborates with a broad group of Product Managers, Decision Intelligence, Connected Services, Marketing, and Finance stakeholders through modeling, analysis, experimentation, and data-driven recommendations that provide critical insights to drive informed decision-making. This role demands acute business acumen complemented by strong technical analytical skills. Essential Duties and Responsibilities Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals. Identify trends, opportunities, and challenges within business operations. Proactively generate hypotheses that could improve business results by leveraging data-supported analysis. Proactively produce executive-level verbal and written analyses, insights, and reports that support data-driven recommendations. Develop a deep understanding of relevant data from various data platforms. Translate complex business requirements into analytical frameworks. Apply structured testing approaches to evaluate marketing and product initiatives across channels, uncover insights, and guide strategic decision-making through rigorous data analysis. Analyze customer journeys, funnel conversion, and cohort behavior to identify growth opportunities. Utilize SQL to extract, manipulate, integrate, and analyze large datasets. Create compelling visualizations and dashboards using tools like Power BI to communicate insights to stakeholders. Ensure data accuracy and integrity in all analytics and reporting. Drive the importance of data collection and creating meaningful tests to measure incremental growth. Analyze and interpret complex data to provide actionable insights that support business objectives. Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies. Contribute to the team effort by accomplishing related results and participating on projects as needed. Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams. Protect Chamberlain Group’s reputation by keeping information confidential. Minimum Qualifications Education/Certifications: Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework Experience: 5+ years of relevant work experience 3+ years of experience in an analytics role, preferably in product, marketing, or growth analytics 3+ years working with SQL or Python 2+ years of hands-on experience designing and analyzing large scale A/B tests and interpreting results in a business context 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools Knowledge, Skills, and Abilities: Demonstrated aptitude distilling complex business problems into clear analytical solutions that can and will be adopted and implemented Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners) Strong foundation in designing, implementing, and analyzing A/B tests and other experimental methodologies to evaluate product and marketing strategies, optimize performance, and drive data-informed decision-making Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation. Strong understanding of business processes and strategic planning Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights. Proven track record of leading projects and cross-functional teams Strong problem-solving skills and the ability to think analytically. Ability to work independently and collaboratively in a fast-paced environment. #LI-JM2 #LI-Hybrid The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies. Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com . NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

The Company: NorthMark Strategies is a leading investment firm, combining capital, innovation, and engineering to drive long-term value. From operating complex businesses to backing breakthrough technologies, our mission is to build enduring businesses. Our team combines intelligent risk-taking, operational excellence, exceptional talent, and world-class computing capacity to create shareholder value. Our company offers a dynamic environment where individuals have the freedom to lead companies toward bold achievements by embracing innovation, leveraging technology, and fostering differentiated business strategies. Our values are Integrity, Ability, and Energy, and the company aims to hire individuals who possess those qualities. At NorthMark Strategies, we believe the future isn’t something to hope for, it’s something to build. We don’t just invest, we create. Bringing together strategic insight and technical horsepower to deliver outcomes that endure. Position Overview We are seeking a highly analytical and detail-oriented Senior Associate, Quant & Data Science to join our portfolio analytics group. Data is at the heart of our business, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As a quantitative / data science focused Senior Associate, you will be at the forefront of facilitating data-driven decision making across the business. Key Responsibilities: Develop and automate valuation and return calculations for a global multi-asset class portfolio Support the development of performance attribution frameworks to identify drivers of performance within and across various asset class portfolios Develop, enhance, and maintain quantitative models and risk management tools to measure and manage market, portfolio, and liquidity risks across both liquid and illiquid asset classes Provide technical competence in translating Excel-based models into programmatic solutions Be a motivated self-starter eager to understand performance analysis in disparate asset classes and develop programmatic solutions that drive toward a coordinated view of performance across our global enterprise Requirements: Practical experience in a finance-oriented qualitative setting in a fast-paced, dynamic environment Ability to dissect ambiguous problems and determine the appropriate analytical techniques to apply High proficiency in data extraction, data cleansing, and quantitative analysis Experience with Quantitative & Data Science for creating models Strong academic credentials with a degree in a quantitative field Experience with Python is required and other languages are a plus Experience with Pandas, NumPY, SciPy, SciKit, Matplotlib, etc. Experience in financial / investment analysis is required It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Benefits & Perks: Hybrid-Work Schedule : We provide a hybrid working schedule with 3 days a week in the office Company-Paid Lunch Stipend : Lunch is provided via GrubHub Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability 401(k): Company will match 100% of your contributions up to 6% Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more. Time Off: 25 days of Paid Time Off plus 12 company holidays EQUAL OPPORTUNITY EMPLOYER NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.