Adobe-posted 2 days ago
Full-time • Senior
San Francisco, CA
5,001-10,000 employees

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 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.
  • BS degree in computer science or a related degree is required or equivalent practical experience
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