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.
Requirements
- Demonstrable mastery of Python for data analysis, including proficiency in pandas, NumPy, scikit-learn, and data visualization libraries for stakeholder reporting
- Experience collaborating with data engineering teams on pipeline design and data quality improvements
- Familiarity with cloud data platforms (AWS, Snowflake)
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
Other
- 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
- Self-directed problem-solver comfortable working through ambiguity, managing multiple priorities, and driving projects from definition through delivery
- MS/MA in Computer Science, Software Engineering, Data Science, or equivalent degree
