Data Scientist

Pragmatic Data Scientist to design and deploy end-to-end data solutions in a B2B SaaS environment. Responsibilities include building data pipelines for reliable ingestion and transformation, rapid prototyping with AI coding tools, developing and deploying statistical models and machine learning, and creating clear visualizations and dashboards for stakeholders. Own selected production data systems (selection, orchestration, monitoring, tuning) and communicate key results to executives. Collaborate with Sales, Finance, Product, Marketing, and other teams to translate problems into action-oriented data solutions, with a focus on data quality, consistency, and transparency. Strong proficiency in Python and SQL, plus experience with modern data stack tools (dbt, Airflow, Spark or equivalents) and data visualization tools (Tableau, Looker or similar); familiarity with infrastructure and data warehouses is a plus. This role offers Bay Area proximity with openness to the right remote candidate and emphasizes an ownership mindset and end-to-end delivery in a startup context.