Senior Data Scientist in a hybrid role focusing on AI Readiness and solutions delivery for clients. Mentoring junior data scientists while managing client engagements and project execution.
About the role
- Senior Data Scientist driving Adobe's B2C business strategy through data analysis and insights on customer journeys. Collaborating with cross-functional teams to support acquisition and retention optimization.
Responsibilities
- Use exploratory data analysis to uncover hidden patterns in the customer journey
- Investigate anomalies in the funnel, identifying whether shifts are driven by market trends, product changes, or technical friction
- Analyze weekly performance across the GTM funnel to understand drivers of acquisition and retention
- Synthesize complex technical findings into clear, actionable narratives for senior leadership
- Contribute to shared code libraries, peer-reviewing complex analyses, and partner with Data Engineering to optimize data architecture for high-velocity analytics
Requirements
- 5+ years of experience in data science, applied machine learning, or quantitative analysis
- Expert-level SQL and Python skills for data manipulation and modeling
- Familiarity with big data platforms like Databricks or Spark is highly preferred
- Experience with one or more data visualization tools such as Tableau or Power BI
- Strong grasp of probability, regression, time-series forecasting, and causal inference
- Experience with uplift modeling or survival analysis is a significant plus
- A track record of working cross-functionally with non-technical collaborators to drive project roadmaps from ideation to delivery
- MS in a quantitative field (Statistics, Computer Science, Economics, Mathematics, or related) or equivalent experience
Benefits
- Professional development opportunities
- Paid time off
- Flexible work arrangements
Job title
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Experience level
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Degree requirement
No Education Requirement
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