Director, Analytics & Data Science

Our Company 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! The Opportunity We are seeking an experienced Data Scientist to join the Pro Design team! You will partner closely with Marketing, Product, and Engineering teams to develop data science insights and solutions that inform our overall product/business strategy, acquisition strategies, optimize retention, and forecast demand. Your work will directly influence the Pro Design roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics. What you'll Do Define and drive a culture of analytical rigor, including implementing scalable tools and processes that drive visibility, accountability, and action. Develop and refine customer segmentation models using unsupervised learning techniques to identify behavioral clusters and inform targeting strategies. Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends. Define and exemplify the value of customers over and develop strategies to improve it in acquisition and retention processes. Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies. Create reusable machine learning pipelines and data artifacts that scale across the organization. Collaborate with cross-functional teams to design experiments and interpret results, including A/B testing and cohort analyses. Share complex modeling outcomes and insights with both technical and non-technical collaborators. What you need to succeed 10+ years of experience in data science or advanced analytics. Proven track record in building high performing data science/analytics teams that are diverse, highly collaborative, and work across functions and geographies. Strong communication skills and a track record of influencing stakeholders, peers, and leaders. Strong proficiency in Python and SQL for data manipulation, modeling, and analysis. Experience with Databricks or similar cloud-based data platforms. Deep understanding of time series forecasting, including ARIMA, Prophet, and other statistical models. Proven ability to build and deploy unsupervised learning models for customer segmentation. Expertise in data visualization tools like Tableau or equivalent. Strong foundation in statistical modeling, experimentation, and lifecycle analytics. Ability to work independently and lead complex projects from ideation to delivery. BS degree in computer science or a related degree is required or equivalent practical experience Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $171,900 -- $339,850 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $234,700 - $339,850 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 ... (truncated, view full listing at source)