Senior Data Scientist, GTM Data Science

Adobe

Quick summary

Work type: On-site
Location: San JoseSan Francisco, California
Salary: $163,200–$236,400 / yr
Posted: 49 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k

This role $200k

$96k most similar roles pay here $251k

This role pays more than 77% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $200k versus about $163k 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 344 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 344 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist, GTM Data Science

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Join Adobe’s Go-To-Market Data Science & Analytics team as a senior Data Scientist, where you will drive growth strategy for Adobe.com's B2C business by analyzing customer behavior across the entire funnel. You’ll collaborate with cross-functional teams to identify key performance drivers and communicate insights effectively to leadership. Your daily tasks include conducting exploratory data analysis, investigating anomalies in customer journeys, and optimizing data architecture for high-velocity analytics. Ideal candidates have 5+ years of experience in B2C SaaS or e-commerce environments, strong SQL and Python skills, proficiency with Databricks, Spark, and visualization tools like Tableau, and a solid background in statistical methods including regression analysis and predictive modeling.

Skills

Python SQL Databricks Spark Tableau Power BI Statistics Regression Hypothesis Testing Forecasting Causal Inference Predictive Modeling

What you'll do

Analyze customer behavior to identify factors influencing acquisition, conversion, retention, and churn.
Investigate anomalies in the funnel to determine causes of performance shifts.
Drive Run-the-Business by analyzing weekly GTM funnel performance for insights.
Communicate complex analysis as clear narratives to senior leaders for decision-making.
Elevate team’s technical standards by contributing to code libraries and peer reviews.

What we're looking for

5+ years of data science experience in B2C SaaS, subscription, e-commerce, or digital products.
Strong SQL and Python skills with experience in large-scale datasets using Databricks, Spark, etc.
Solid foundation in statistics and quantitative methods including regression, hypothesis testing, forecasting.
Proven ability to solve business problems through data analysis in partnership with non-technical teams.
Independent work capability in ambiguous environments, effective prioritization, and project management skills.
Experience with visualization tools like Tableau or Power BI.

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