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Data Scientist, Employee Experience & Productivity - Apple
Data Scientist
Lead data science initiatives for employee productivity tools, leveraging Python, SQL, and machine learning to uncover insights that shape portfolio-wide strategy and drive continuous improvement.
About the role
Key Responsibilities
- Own end‑to‑end data strategy for the Employee Productivity & Support portfolio, translating business questions into analytical solutions.
- Design, develop, and deploy predictive models and dashboards using Python, SQL, and Tableau to surface actionable insights across multiple internal tools.
- Collaborate with product, engineering, and operations teams to define success metrics, monitor performance, and recommend data‑driven enhancements.
- Conduct exploratory data analysis, feature engineering, and statistical testing to validate hypotheses and support evidence‑based decision making.
- Communicate findings to senior stakeholders through clear visualizations and concise reports, ensuring insights are understood and acted upon.
Requirements
- 5+ years of data science experience in a large, complex organization.
- Proficiency in Python (pandas, scikit‑learn, matplotlib) and SQL for data manipulation and model development.
- Strong background in machine learning techniques, including supervised and unsupervised learning.
- Experience building interactive dashboards with Tableau or similar tools.
- Excellent communication skills and ability to translate technical results into business impact.
Skills
pythonsqlmachine learningtableau