FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Data Scientist, GTM Data Science
AdobeSenior 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 & technologiesPythonSparkSQLTableau
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata analysisstatisticsregressionhypothesis testingforecastingpredictive modelingdata visualizationexperimentation
Soft Skills
communicationproblem-solvingindependenceprioritizationcollaborationanalytical thinkingadaptabilitynarrative developmentteamworkcritical thinking