Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Role We are building a new Vehicle Analytics & Insights team within GM's Vehicle Product organization, and this role is a foundational hire. As a Staff Product Data Scientist , you'll help define how analytics informs product decisions for GM's vehicle experience. You'll work at the intersection of vehicle data, product strategy, and user behavior-turning complex telemetry and product signals into clear, actionable insights. Your work will help product teams move beyond intuition to a quantitative understanding of how customers use, adopt, and experience vehicle features at scale. You'll partner closely with product managers, engineers and designers and play an early role in shaping product analytics standards, metrics, and how insights are used across the organization. This role offers meaningful ownership and visibility, with the opportunity to shape how product analytics drives decisions and scales across GM as the capability grows. What You'll Do: - Define, standardize, and evolve product success metrics and KPI frameworks across in-vehicle experiences, ensuring consistency, clarity, and alignment to customer value and business outcomes. - Lead the product analytics instrumentation strategy, partnering with Product and Engineering to define what data should be captured, how it should be implemented, and how quality and consistency are maintained. - Act as a thought partner to product teams to proactively identify opportunities and inform prioritization and product strategy, rather than responding to ad hoc requests. - Perform deep-dive analyses to understand customer journeys, engagement patterns, friction points, and value moments across in-vehicle experiences, translating complex behavioral data into clear, actionable insights. - Design, build, and own dashboards and self-serve analytics that enable product teams and leaders to continuously monitor product performance, adoption, and health. - Frame complex analytical findings into clear decision narratives, explicitly surfacing tradeoffs, risks, and opportunities to influence product strategy and prioritization. - Set best practices for experimentation and causal inference in environments where traditional A/B testing may be constrained, applying statistical rigor and sound judgment to real-world product decisions. - Help establish the foundational product analytics practices for the Vehicle Product organization that will scale as the team grows. - Act as a force multiplier for analytics capability, mentoring analysts and product partners, raising data literacy, and enabling teams to increasingly self-serve insights while maintaining high analytical standards. Your Skills & Abilities (Required Qualifications): - Master's degree in Analytics, Statistics, Mathematics, Computer Science, or a related quantitative field (or equivalent practical experience). - 7+ years of experience in data science or analytics, with a strong preference for product analytics / product data science roles supporting software or digital products. - Expert-level SQL skills, with a demonstrated ability to define trusted metrics, validate data, and diagnose data quality issues in complex, evolving data ecosystems. - Strong experience using Python (or similar languages) for exploratory analysis, statistical modeling, experimentation, and automation. - Demonstrated ability to translate data into clear stories and recommendations, and to communicate technical concepts effectively to audiences with varying levels of technical depth. - Hands-on experience with data visualization and BI tools (e.g., Databricks, Power BI, Looker, or similar) and a strong point of view on what makes dashboards useful versus misleading. - Strong written and verbal communication skills, with a proven ability to collaborate effectively across Product, Engineering, Design, and adjacent teams. What Will Give You a Competitive Edge (Preferred Qualifications): - Experience designing and analyzing experiments or feature rollouts, including an understanding (and/or application) of causal inference and real-world constraints. - Track record of driving impact beyond a single team or product, influencing how multiple teams approach measurement, decision-making, or experimentation. - Comfortable working in ambiguous, early-stage environments, where processes are still being defined and impact comes from building the foundation as much as delivering immediate insights. Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is 159,400 and 245,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-RF1 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

• Provides technical expertise across all aspects of Data Management • Serves as the primary Data Management point of contact for assigned studies • Ensures contracted Data Management deliverables are met with a focus on quality and timeliness • Manages study data delivery timelines, including Go-Live, Interim Deliveries, and Final Database Lock • Collaborates closely with cross-functional teams across global geographies • May provide mentorship to Assistant Data Managers and Data Management peers • Reviews and analyzes study metrics to identify trends and summarize study health • Reviews agreements to manage sponsor-specific metrics and performance indicators • Attends cross-functional meetings and prepares meeting minutes and action logs • Ensures compliance with Standard Operating Procedures and ICH/GCP guidelines • Identifies quality issues, ensuring appropriate resolution and closure. • Participates in internal, sponsor, and regulatory audits and inspections.

• Oversee the end-to-end collection and processing of clinical trial data • Lead and mentor Clinical Data Managers and Clinical Data Specialists • Manage database build, maintenance, and lock activities • Ensure compliance with applicable regulatory requirements and industry standards • Partner with Clinical Research, Biometrics, Safety, and Clinical Insights functions to define data requirements

Role Description We are looking for a Senior Data Scientist to lead the implementation of a Marketing Mix Modeling framework into a cross-channel optimization product, building client-specific MMM models using Bayesian frameworks including Meridian and Robin. You will develop scalable, production-ready models using Python, SQL, and AWS infrastructure, design human-in-the-loop feedback systems to improve model accuracy over time, and collaborate with MLOps teams to define the foundational infrastructure for ML deployment. The role requires 5+ years of data science experience with autonomous, end-to-end model ownership. What You Will Do - Develop and scale client-specific Marketing Mix Modeling (MMM) models using Meridian or Robin rather than a single monolithic model; - Build pragmatic baseline models to handle noisy marketing data and thin data tiers for new clients; - Treat ML training as an operations problem by utilizing AWS tools to train and deploy models; - Collaborate with internal MLOps teams to define the foundational infrastructure for deploying machine learning models to production. Qualifications - 5+ years of commercial data science experience with a proven track record of operating autonomously; - Experience building and maintaining machine learning models, including choosing the approach, shaping the data, diagnosing problems, and iterating; - Demonstrated experience with Bayesian frameworks such as PyMC or Stan, or Marketing Mix Modeling (MMM) tooling; - Strong proficiency in Python and SQL; - Solid experience building and deploying models using AWS infrastructure such as SageMaker Studio or EC2; - Strong foundation working with relational databases such as PostgreSQL or MySQL to pull, clean, and manipulate large data tiers; - Upper-intermediate English level. Requirements - Deep customization experience with Google Meridian; - Experience building or designing human-in-the-loop machine learning workflows; - Exposure to cloud data lakes and analytical databases such as AWS Athena or ClickHouse; - Experience collaborating with backend engineering teams using containerized workflows or modern package ecosystems. Benefits - Professional growth : Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation : USD-based pay with education, fitness, and team activity budgets. - Exciting projects : Modern solutions with Fortune 500 and top product companies. - Flextime : Flexible schedule with remote and office options.