Senior Data Scientist, GTM Data Science

Adobe

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Jose, CASan Francisco, CA
Salary
$133,100–$236,400 / yr
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $185k
$121k $249k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $150,542–$214,000 — the blue band above. At the midpoint, this role pays about $185k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist, GTM Data Science

The Senior Data Scientist, GTM Data Science will join the Go-To-Market Data Science & Analytics team to build growth strategy for the Adobe.com B2C business. This role involves analyzing customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn. You will perform exploratory data analysis to uncover hidden patterns, investigate funnel anomalies, and drive Run-the-Business reporting by analyzing weekly performance. Key responsibilities include communicating insights to senior leaders and contributing to shared code libraries. The position requires proficiency in SQL, Python, and visualization tools like Tableau or Power BI. Candidates must apply statistical methods including regression, hypothesis testing, forecasting, and causal inference using large-scale datasets in environments like Databricks or Spark to solve complex business problems within a B2C SaaS context.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn.
  • Use exploratory data analysis to uncover hidden patterns throughout the customer lifecycle.
  • Investigate funnel anomalies to determine if shifts are driven by market trends, product changes, or technical friction.
  • Analyze weekly performance across the GTM funnel to identify drivers of acquisition and retention.
  • Translate complex data analysis into simple, decision-ready narratives for senior leaders.
  • Contribute to shared code libraries and peer-review complex analyses to elevate the team's technical bar.
  • Partner with Data Engineering to optimize data architecture for high-velocity analytics.

What we're looking for

  • 5+ years of experience in data science, analytics, experimentation, or applied statistics.
  • Experience in a B2C SaaS, subscription, e-commerce, or digital product environment (preferred).
  • Strong SQL and Python skills with experience in large-scale data environments like Databricks or Spark.
  • Strong foundation in statistics and quantitative methods including regression, hypothesis testing, forecasting, and causal inference.
  • Experience using data to solve business problems in partnership with non-technical partners.
  • Ability to work independently in ambiguous environments and drive projects from problem definition to recommendation.
  • Experience with visualization tools such as Tableau or Power BI.
  • MS in a quantitative field or equivalent experience.

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