Overview
On Site
Full Time
Skills
Decision-making
Analytical Skill
Computer Hardware
Workforce Planning
Operational Efficiency
Presentations
Dashboard
Optimization
Analytics
Collaboration
Partnership
Translation
Business Analysis
Business Analytics
Forecasting
Algorithms
Leadership
Python
Data Analysis
Pandas
NumPy
scikit-learn
Data Visualization
Reporting
Management
Mergers and Acquisitions
Computer Science
Software Engineering
Data Science
Data Engineering
Data Quality
Cloud Computing
Amazon Web Services
Snow Flake Schema
Job Details
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.
Responsibilities
Minimum Qualifications
Preferred Qualifications
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 .
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.
Responsibilities
- Build repeatable analytical frameworks and dashboards that become the standard for how Hardware Engineering evaluates organizational health and plans for growth
- Inform strategic decisions across the HWE organization, from workforce planning to operational efficiency, through presentations, visual dashboards, and reports
- Build forecasting and optimization models for engineering resource needs, translating complex technical constraints into strategic recommendations for senior stakeholders
- Define analytics requirements in partnership with data engineering, owning the translation layer between infrastructure capabilities and business needs
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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.