Data Scientist
Core
Build sophisticated data products and telemetry infrastructure to drive executive decision-making and solve user pain points in a B2B SaaS environment.
Role type
Senior Data Scientist (Corporate Development & Analytics)
Builds
Production data pipelines, automated analytical frameworks, predictive models, and foundational telemetry for product features.
Domain
B2B SaaS / Product Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Complex SQL query writing, Python programming, statistical modeling, data pipeline orchestration, version control (Git), cross-functional product partnership.
Preferred skills
Experience translating raw product output into executive strategy, building scalable automated reporting suites.
Technologies
Python, SQL, Snowflake, Redshift, BigQuery, Git.
Responsibilities
Communicate technical findings to executive leadership to influence long-term roadmaps; Partner with Product Managers to identify opportunities where data science solves user pain points; Conduct deep-dive statistical analysis to uncover drivers of customer retention and product adoption; Design, write, and maintain production-quality code to build scalable data pipelines and predictive models; Write complex, highly optimized SQL queries to extract, clean, and transform large-scale datasets from cloud data warehouses; Apply software engineering best practices to data science workflows to ensure robust and reproducible analyses; Advocate for data-first product design by ensuring telemetry and event tracking are prioritized during feature development.
Seniority
Mid-Senior (3-6 years experience)