Senior Data Scientist, Gtm Data Science

Adobe Adobe · Enterprise · San Jose, CA +1

Senior Data Scientist role focused on Go-To-Market (GTM) strategy for Adobe's B2C business, applying data science to the entire customer journey (acquisition, conversion, engagement, monetization, retention, churn). The role involves analyzing customer behavior, identifying growth opportunities, explaining performance shifts, improving decision-making, and influencing strategy through data. Responsibilities include analyzing funnel performance, investigating anomalies, communicating insights to senior leaders, and contributing to shared code libraries and data architecture optimization. Requires strong SQL, Python, statistical methods, and experience with large-scale datasets and visualization tools.

What you'd actually do

  1. Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn.
  2. Use exploratory data analysis to uncover hidden patterns throughout the customer lifecycle. You’ll investigate anomalies in the funnel, identifying whether shifts are driven by market trends, product changes, or technical friction.
  3. Drive Run-the-Business (RTB) by analyzing weekly performance across the GTM funnel to understand drivers of acquisition and retention.
  4. Communicate insights clearly to senior leaders, turning complex analysis into simple, decision-ready narratives
  5. 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.

Skills

Required

  • SQL
  • Python
  • statistics
  • quantitative methods
  • regression
  • hypothesis testing
  • forecasting
  • experimentation
  • causal inference
  • predictive modeling
  • large-scale datasets
  • Databricks
  • Spark
  • data visualization
  • Tableau
  • Power BI
  • customer behavior analysis
  • customer journey analysis
  • GTM strategy
  • B2C SaaS
  • subscription
  • e-commerce
  • digital product

Nice to have

  • MS in a quantitative field (Statistics, Computer Science, Economics, Mathematics, or related) or equivalent experience

What the JD emphasized

  • 5+ years of experience
  • strong SQL and Python skills
  • strong foundation in statistics and quantitative methods
  • 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