Data Scientist

Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first‑ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, ™, and San Disk® Professional brands.

We are a key partner to some of the largest and highest‑growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever‑growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

• Business Partnership & Consulting

• Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions.

• Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience.

• Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities.

• Experience advising, presenting to, and serving as a thought partner to senior executives.

• Analytics & Insights

• Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance).

• Translate complex data into clear, actionable insights with strong storytelling and visualization.

• Deliver executive‑ready materials that connect people data to business outcomes.

• Partner cross‑functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.

• Advanced People Analytics

• Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities.

• Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities.

• Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights.

• Strategy & Enablement

• Guide stakeholders in building a data‑driven culture within HR and across the business.

• Drive adoption of self‑service analytics platforms and democratize access to people insights.

• Education & Experience

• Bachelor’s or Master’s in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field.

• 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields.

• Technical Skills

• Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier).

• Advanced Excel, SQL, or Python/R for data analysis preferred.

• Understanding of HR systems (Workday, Success Factors, etc.) and data structures.

• Business & Consulting Skills

• Exceptional ability to translate data into business insights and recommendations.

• Strong stakeholder management, influencing, and storytelling skills.

• Experience in partnering with senior leaders to drive data‑informed decisions

Western Digital 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…