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Fal

Senior Data Scientist, Product Intelligence

Senior Data Scientist architects metrics and measurement systems for user success, owns data standards and experimentation frameworks, and delivers insights to influence product roadmap and GTM strategy. Requires 5+ years experience, advanced SQL/Python, dbt, and orchestration tools.

190k – 230kSan Francisco, CAData ScienceOnsite5+ YOE
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About the role

What you’ll do

  • Architect the metrics that define user success on fal and build the measurement systems to track activation, retention, and time-to-value across both our self-serve and B2B pipelines.
  • Develop a deep, causal understanding of how customers discover, adopt, and grow on the platform to identify key expansion levers and acquisition opportunities.
  • Own the instrumentation standards and data contracts that serve as the source of truth for product telemetry and core behavioral schemas.
  • Surface insights through rigorous deep-dives and experimentation to influence product direction, pricing models, and go-to-market initiatives.
  • Develop scalable data products including automated experimentation frameworks and canonical schemas that enable teams to self-serve and move faster.

What we are looking for

  • 5+ years of experience in data science or analytics roles-ideally with API products, developer tools, or B2B SaaS platforms
  • Advanced-level SQL and proficiency in Python for analytics, modeling, and experimentation
  • Strong proficiency with dbt and orchestration tools like Dagster or Airflow for production pipeline
  • Proven ability to work across teams to influence product roadmap and strategy
  • Experience establishing data quality and governance practices, including lineage, testing, and documentation.
  • Demonstrated bias for action and the ability to thrive in fast-moving, ambiguous environments.
  • A track record of shipping data products or features, not just dashboards. You think like a Product Manager and build like an Engineer

Nice-to-haves

  • Experience working on developer-facing products or platforms.
  • Exposure to infrastructure, performance, or cost-related data (e.g., cloud usage, compute efficiency).
  • Experience operating in early-stage or fast-scaling environments.
  • Interest or experience in architecting data systems designed for agentic consumption and AI-driven product workflow

Compensation

$190,000 - $230,000 + equity + comprehensive benefits package

Skills

SQLPythondbtDagsterAirflowData ModelingExperimentationData PipelinesData GovernanceData Quality

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