Sr. People Data Scientist

With data and advanced analytics at the center of our people strategy, we are seeking a seasoned, analytically driven professional to join our People Experience team (HR) as a Sr. People Data Scientist . In this role, you will be responsible for developing, optimizing, and enhancing data-driven insights across the full employee lifecycle. You will partner closely with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to ensure our people data, models, and analytics support strategic workforce priorities and operational decision-making. You will play a critical role in elevating our analytics capabilities by building predictive models, applying advanced statistical methods, leveraging natural language processing (NLP), and delivering insights that enable better workforce planning, employee experience, and organizational effectiveness. If you are passionate about transforming people data into high-integrity insights, enjoy collaborating across functional teams, and are eager to advance the use of modern analytics and AI technologies within HR, this role may be an excellent fit for you. ESSENTIAL DUTIES AND RESPONSIBILITIES: People Analytics & Insights Analyze and report on the employee lifecycle (from hiring and onboarding to development and exit) by building descriptive and diagnostic dashboards that deliver insights on hiring, performance, attrition, engagement, rewards, merit, promotions, headcount and overall organization health. Lead employee listening analytics (onboarding, quality of hire, exit surveys) and partner with People Business Partners, Finance, Compensation, and other COEs to support QBRs, org health reviews, and strategic workforce initiatives. Enable trusted, self-service insights by collaborating with analytics and technical teams to ensure data quality, consistency, and ongoing enhancements to user-friendly analytics platforms. Advanced People Analytics Define and execute the enterprise people analytics and data science strategy, advancing from descriptive reporting to predictive, prescriptive, and AI‑enabled insights. Predictive Modeling: Develop and maintain advanced predictive models, statistical analysis including: Attrition prediction Forecasting trends to identify workforce risks and opportunities Survival analysis for tenure and lifecycle predictions Skills gap identification and capability modeling Gen AI–Data Driven People Insights: Narrative Insight Generation: Leverage Generative AI and Natural Language Processing (NLP) across key workforce data—such as employee demographics, tenure, job families, countries, terminations, and trend indicators—to automatically surface themes, generate narrative insights, and support strategic, data driven decision making. Transform Unstructured Text into Actionable Intelligence: Use advanced topic modeling, sentiment analysis, and NLP techniques to convert open text survey feedback into structured insights that reveal employee sentiment, emerging issues, and experience drivers. GenAI-Enabled Data Insights: Support the exploration of AI-enabled solutions that offers real-time, contextual guidance on workforce trends, attrition patterns, and retention risks, as well as offering considerations points for people leaders and their aligned people business partners. People Data Governance: Own people data governance and quality by standardizing metrics, integrating systems, auditing data accuracy, and ensuring reliable refresh SLAs and reconciliation across platforms. Ensure data security, privacy, and compliance by managing access controls, PII governance, data classification, encryption, and documentation aligned with data privacy policies. REQUIRED: Bachelor’s degree in Statistics, Data Science, Computer Science, Data Analytics or a related field, or an equivalent combination of education and experience. 6+ years of experience in People Analytics, HR Analytics or Data Science. SKILLS: Expert-level proficiency in data visualization tools (e.g., Tableau, Power BI), Excel and Oracle/SQL. Strong expertise with Python, R for data analysis/modeling. Strong experience with advanced statistical methods (e.g., regression, cluster analysis, text analysis, sentiment analysis, etc.) and deliver actionable insights. Exceptional analytical, problem-solving, stakeholder management, influencing, and storytelling skills. Experience in partnering with senior leaders to drive data-informed decisions Excellent data management and data governance skills. Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the " Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available here . Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com  to advise us of your accommodation request. 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. Based on our experience, we anticipate that the application deadline will be 10/22/2026  (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-RT1 Compensation & Benefits Details An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting.  We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York.  This range may be modified in the future. You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incent