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Sr. People Data Scientist

SanDisk

Milpitas, CA · HybridFull-time$117–199K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$117–199K/yr
Location
Milpitas, CAHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Sr. People Data Scientist will develop and enhance data-driven insights across the employee lifecycle, partnering with HR, Talent Acquisition, Finance, IT, and Legal. The role advances people analytics through predictive models, statistical methods, NLP, and AI-enabled insights to support workforce planning, employee experience, and organizational effectiveness. It also owns people data governance and quality, helping ensure trusted analytics and informed decisions.

Skills & qualifications

RequiredNice to have

Skills

Data VisualizationTableauPower BIExcelOracleSQLPythonRData AnalysisData ModelingStatistical MethodsRegressionCluster AnalysisText AnalysisSentiment AnalysisPeople AnalyticsHR AnalyticsData ScienceAnalytical ThinkingProblem SolvingStakeholder ManagementInfluencingStorytellingData ManagementData GovernanceSenior Leader Partnership

Qualifications

Bachelor's in Statistics, Data Science, Computer Science, Data Analytics or Related Field or Equivalent6+ Years People Analytics, HR Analytics or Data Science Experience

Benefits

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
Tuition Assistance
401(k) Match

Full job description

General Information

Job Name

Sr. People Data Scientist

Country/Region

United States of America

City

Milpitas

Work Location

Milpitas Office

Work Mode

Employees work in a hybrid mode

Salary Range

$116,800 - $198,500

Exemption Status

Exempt

Business Function

Data Science

Employment Type

Full-time

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Description

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.

Qualifications

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.

Compensation & Benefits

  • 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 incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards.

  • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan.

  • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate 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 Equal Employment Opportunity is the Law (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12.pdf) poster.

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 [email protected] 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.

How this job compares

Set against the 4,931 open Data Scientist jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$117–199K/yr
  • California median$155–240K/yr718 salary ranges
  • US median$133–215K/yr3,922 salary ranges

This range's midpoint, $158K, is 21% below the California median midpoint ($200K) — in the lowest quarter of Data Scientist salary ranges in California.

Openings
Olive Jobs lists 845 open Data Scientist jobs in California and 4,931 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 6 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,239 postings).
Education
2,823 of the 4,931 open Data Scientist jobs (57%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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