Western Digital

Data Scientist

Western Digital

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Salary

💰 $157,700 - $210,300 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQLTableau

About the role

  • 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
  • Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance)
  • Deliver executive-ready materials that connect people data to business outcomes
  • Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities

Requirements

  • 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
  • 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, SuccessFactors, etc.) and data structures
Benefits
  • 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
  • Western Digital Savings 401(k) Plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisstatistical analysispredictive modelingtrend forecastingdata visualizationExcelSQLPythonR
Soft skills
relationship buildingcommunicationanalytical thinkingproblem solvingcollaboration