# Senior Data Scientist, GTM
**Company:** [Fal](https://hotfix.jobs/companies/fal)
**Location:** San Francisco, CA
**Salary:** $190K-$230K
**Experience:** 5+ years
**Skills:** SQL, Python, Salesforce, dbt, Salesforce Data Modeling, Pipeline Analytics, Quota Modeling, Territory Modeling, Gtm Analytics, Revops Analytics
**Posted:** 2026-05-13
> 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.
## Job Description
## 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
**Apply:** https://hotfix.jobs/jobs/senior-data-scientist-gtm-at-fal-935a4be9-c76b-4ad9-a86f-5a92c348e685
**Canonical:** https://hotfix.jobs/jobs/senior-data-scientist-gtm-at-fal-935a4be9-c76b-4ad9-a86f-5a92c348e685