Senior Data Scientist, Adobe Stock

Adobe • San Francisco, CA

89d • $128,600 - $234,200

About The Position

We are seeking an experienced Data Scientist to join the Adobe Stock Analytics and Insights team! This will be a key hire for the Data Science CoE (Center of Excellence) for the Adobe Stock business unit. You will partner closely with Marketing, Product, and Engineering teams to develop data science solutions that inform acquisition strategies, optimize retention, and forecast demand. Your work will directly influence Adobe Stock's roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics.

Requirements

• 5+ years of experience in data science or advanced analytics, ideally within eCommerce, digital subscriptions, or marketplaces.
• Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.
• Familiarity with Databricks or similar cloud-based data platforms.
• Solid understanding of time series forecasting methods (ARIMA, Prophet, ML-based).
• Experience building segmentation or clustering models (e.g., k-means, hierarchical clustering, embeddings).
• Strong applied statistics foundation (hypothesis testing, regression, experimental design).
• Proficiency with data visualization tools (e.g., Tableau, Power BI, or equivalent).
• Demonstrated ability to manage projects independently, while working effectively with partners from different functions.

Responsibilities

• Contribute to the development of customer segmentation models using clustering and unsupervised learning techniques to uncover behavioral cohorts and inform targeting.
• Build and refine forecasting models (e.g., ARIMA, Prophet, ML-based time series methods) to predict demand and engagement trends.
• Support efforts in modeling customer value over time (LTV) and assist in translating findings into practical strategies for acquiring and retaining customers.
• Develop churn prediction models to identify at-risk users and propose interventions in partnership with product and marketing teams.
• Create scalable, reusable ML workflows and data science artifacts that improve efficiency across the org.
• Partner with analysts and engineers to design and interpret experiments (A/B tests, cohort studies, causal inference).
• Present insights and model outcomes clearly to technical and non-technical audiences, bridging the gap between data and decision-making.

Benefits

• Competitive salary range of $128,600 -- $234,200 annually based on location and experience.
• Potential eligibility for long-term incentives in the form of a new hire equity award.
• Short-term incentives in the form of the Annual Incentive Plan (AIP).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services