Job Details

Weekly Hours: 40

Role Number: 200627728-0157

Summary

Hardware Engineering is seeking a Senior Data Scientist to answer critical business questions through rigorous analysis of data engineering outputs, delivering intelligence that drives strategic decision-making. The ideal candidate brings expertise in data analytics and a passion for data storytelling. You'll have the autonomy to shape analytics strategy across workforce planning and operations, working with leadership to inform high-stakes organizational decisions. This role offers the opportunity to influence organizational direction while building a portfolio of high-impact analytical projects.

Description

You’ll lead business analytics projects through all phases — defining investigations, exploring data, conducting analysis, and presenting results to business customers. Projects will span workforce planning, operational analytics, and strategic initiatives across Hardware Engineering.

This role requires collaboration within a multi-disciplined, geographically distributed data science team, working closely with data engineering to build on our existing infrastructure and shape future analytics capabilities.

Minimum Qualifications

• Minimum BS/BA in Computer Science, Software Engineering, Data Science, or equivalent degree

• 5+ years defining and leading business analytics initiatives, including surfacing insights, explaining outliers, building forecasting algorithms, and effectively communicating findings to stakeholders at all levels, including senior leadership

• Demonstrable mastery of Python for data analysis, including proficiency in pandas, NumPy, scikit-learn, and data visualization libraries for stakeholder reporting

• Self-directed problem-solver comfortable working through ambiguity, managing multiple priorities, and driving projects from definition through delivery

Preferred Qualifications

• MS/MA in Computer Science, Software Engineering, Data Science, or equivalent degree

• Experience collaborating with data engineering teams on pipeline design and data quality improvements

• Familiarity with cloud data platforms (AWS, Snowflake)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .