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Adobe

Senior Data Scientist, GTM Data Science

Adobe

Senior Data Scientist focusing on customer behavior analysis and data-driven growth strategies for Adobe's B2C business. Collaborating across teams to optimize acquisition, conversion, and retention efforts.

Posted 4/26/2026full-timeSan Jose • California • 🇺🇸 United StatesSenior💰 $133,100 - $236,400 per yearWebsite

Tech Stack

Tools & technologies
PythonSparkSQLTableau

About the role

Key responsibilities & impact
  • 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 anomalies in the funnel, identifying whether shifts are driven by market trends, product changes, or technical friction.
  • Drive Run-the-Business (RTB) by analyzing weekly performance across the GTM funnel to understand drivers of acquisition and retention.
  • Communicate insights clearly to senior leaders, turning complex analysis into simple, decision-ready narratives.
  • Elevate the team’s technical bar by contributing to shared code libraries, peer-reviewing complex analyses, and partnering with Data Engineering to optimize our data architecture for high-velocity analytics.

Requirements

What you’ll need
  • 5+ years of experience in data science, analytics, experimentation, or applied statistics, ideally in a B2C SaaS, subscription, e-commerce, or digital product environment.
  • Strong SQL and Python skills, with experience working with large-scale datasets in modern data environments such as Databricks, Spark, or similar platforms.
  • Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.
  • Experience using data to solve business problems in partnership with non-technical partners.
  • Ability to work independently in ambiguous environments, prioritize effectively, and drive projects from problem definition through recommendation.
  • Experience with visualization tools such as Tableau or Power BI.
  • MS in a quantitative field (Statistics, Computer Science, Economics, Mathematics, or related) or equivalent experience.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLPythondata analysisstatisticsregressionhypothesis testingforecastingpredictive modelingdata visualizationexperimentation
Soft Skills
communicationproblem-solvingindependenceprioritizationcollaborationanalytical thinkingadaptabilitynarrative developmentteamworkcritical thinking