Senior Data Scientist

Adobe•San Francisco, CA

13d

About The Position

The world of design is changing rapidly, and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft. We are looking for a Senior Business Data Scientist who is creative, analytical, and unafraid to question the status quo and shape the decisions that move key business metrics at scale. Join us and build Adobe’s future products!

Requirements

Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar) or equivalent practical experience.
5+ years of experience in data science, product analytics, or a similar quantitative role.
Proficiency in SQL and Python (or R) for data manipulation, analysis, and modeling.
Hands-on experience designing and analyzing A/B tests and interpreting statistical significance.
Experience building segmentation and predictive models (propensity, churn, LTV) and deploying them to drive product or marketing actions.
Experience building funnels, cohorts, and retention analyses.
Ability to translate ambiguous business questions into structured analyses and clear recommendations.
Fluency with AI-assisted and agentic workflows

Nice To Haves

Master's or PhD in a field involving quantitative analysis, or equivalent experience.
Background in consumer product analytics, especially in creative tools, SaaS, or subscription businesses.
Experience modeling customer satisfaction and/or NPS.
Familiarity with modern data stacks (preferably Databricks, Spark), product analytics tools (e.g., Adobe Analytics, Amplitude, FullStory), and experimentation platforms.

Responsibilities

Map the user funnel and build the metrics, cohorts, and dashboards that Product and Growth rely on to see how users move across free, trial, and paid tiers—and pinpoint where they drop off.
Dig into the hard questions (what drives activation, which behaviors predict retention and expansion) and build propensity models for conversion, upgrade, churn, and expansion that feed real-time targeting and in-product nudges.
Find and size growth bets and work with Product to ship them.
Set north-star, driver, and guardrail metrics with your partners, and stand up multivariate experiments across onboarding, paywalls, in-product prompts, and pricing.