Senior Data Scientist, GTM Data Science

Adobe

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Jose, CASan Francisco, CA
Salary
$163,200–$236,400 / yr
Posted
56 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $200k
$118k most similar roles pay here $249k

This role pays more than 67% of similar roles. Most pay $143,547–$212,718 — the shaded band above. At the midpoint, this role pays about $200k versus about $178k 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 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 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 joins the Go-To-Market 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 anomalies caused by market trends or technical friction, and provide decision-ready narratives to senior leaders. The position requires expertise in SQL, Python, and large-scale data environments like Databricks or Spark. Candidates must possess a strong foundation in statistics and quantitative methods, including regression, hypothesis testing, forecasting, experimentation, causal inference, and predictive modeling. Additionally, the role involves using visualization tools such as Tableau or Power BI to solve complex business problems within a B2C SaaS, subscription, e-commerce, or digital product environment.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

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

What we're looking for

  • MS in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, or related experience.
  • 5+ years of experience in data science, analytics, experimentation, or applied statistics.
  • Experience in B2C SaaS, subscription, e-commerce, or digital product environments is preferred.
  • Strong SQL and Python skills for working with large-scale datasets in modern platforms 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 stakeholders.
  • Proficiency with visualization tools such as Tableau or Power BI.
  • Ability to work independently in ambiguous environments and drive projects from definition through recommendation.

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