Hardware Engineering is seeking a Senior Data Scientist to operate at the intersection of data engineering and business intelligence — building scalable infrastructure and delivering analytics and insights.
Requirements
- Minimum BS/BA in Computer Science, Software Engineering, Data Science, or equivalent degree
- 5+ years defining and leading business analytics initiatives
- 5+ years of experience designing and building data pipelines (batch and streaming), data modeling, and data warehousing in cloud-based platforms like AWS or Snowflake
- Demonstrable mastery of Python across both data engineering and data analysis
- Self-directed problem-solver comfortable working through ambiguity, managing multiple priorities, and driving projects from definition through delivery
- Hands-on experience with cloud data platforms (AWS, Snowflake) and pipeline orchestration tools (e.g., Airflow, dbt)
Benefits
- health insurance
- paid time off
- 401k matching
- retirement plan
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