Senior Data Scientist, Adobe Stock

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We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

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.

• 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.

• 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.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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California:

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Colorado:

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If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

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