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Fal

Senior Data Scientist, GTM

Senior Data Scientist embedded in GTM team owns sales metrics, pipeline health, quota attainment, and segment economics. Partners with sales leadership using advanced SQL, Python, dbt, and Salesforce expertise to drive revenue decisions. Requires 5+ years experience, including 3+ in GTM/sales analytics.

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

What you’ll do

  • Own the metrics and reporting that drive sales execution at fal: pipeline health, quota attainment, conversion rates, sales cycle, AM coverage, and segment-level economics.
  • Partner directly with the sales leadership and rev-ops to translate strategic questions into measurement frameworks and weekly operating cadences.
  • Build the data foundations that make GTM analytics first-class: account-manager tracking, territory and quota models, opportunity-stage instrumentation, and rep-level performance views.
  • Run rigorous deep-dives — win/loss, lead source effectiveness, segmentation, expansion drivers — that change how GTM allocates time and headcount.
  • Shape the CRM, internal tooling, and downstream data models that everyone in GTM depends on, and set the standards for how GTM data is captured, joined, and trusted.

What we are looking for

  • 5+ years of experience in data science or analytics roles, with at least 3+ years specifically in GTM, RevOps, or sales analytics at an enterprise or B2B SaaS company.
  • Advanced SQL and proficiency in Python for analytics, modeling, and experimentation.
  • Deep familiarity with Salesforce data, pipeline mechanics, quota and territory models, and the operational rhythms of an enterprise sales org.
  • Strong proficiency with dbt and modern analytics stacks; comfort partnering with data engineering on production-grade pipelines.
  • Proven ability to operate as an embedded analytics partner — building trust with sales leadership and translating ambiguous strategic asks into clear measurement.
  • Demonstrated bias for action; you set up the dashboard, write the SQL, and ship the framework yourself when needed.
  • A track record of shipping data products that change behavior, not just dashboards that get viewed once.

Nice-to-haves

  • Experience supporting both self-serve/PLG and enterprise sales motions.
  • Experience working on developer-facing or API products.
  • Familiarity with usage-based pricing and consumption-driven sales motions.
  • Early-stage or fast-scaling environment experience.

Compensation

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

Skills

SQLPythonSalesforcedbtSalesforce Data ModelingPipeline AnalyticsQuota ModelingTerritory ModelingGtm AnalyticsRevops Analytics

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