Senior Data Scientist
Job Summary
To support a growing analytics function, the full-time Senior Data Scientist will build and maintain product data assets, leverage AI-powered tools for insight generation, and partner with cross-functional teams to influence product strategy, all while working remotely.
Key responsibilities
- Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure
- Leverage AI-powered analytics tools to accelerate insight generation and automate analysis
- Define and evolve measurement frameworks for product health and customer lifecycle
Required qualifications
- 4+ years of experience as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting
- Strong foundation in SQL, Python (or R), statistics, and machine learning
- Experience building scalable data assets and analytical frameworks on cloud data platforms
- Deep understanding of product analytics and B2B SaaS growth metrics
- Demonstrated ability to translate ambiguous business problems into actionable recommendations
Complete Job Description
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