Senior Data Scientist

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!

Seeking a highly curious, customer-obsessed Senior Data Scientist to partner with the Creative Product Marketing team in uncovering how our customers engage with and gain value from our products.  

What you'll Do 

• Analyze product usage patterns and customer journeys to uncover behavioral insights related to acquisition and retention—translating findings into actionable marketing strategies 

• Drive experimentation, including the design, execution, and evaluation of A/B and multivariate tests across marketing and product to optimize strategy 

• Build predictive models and machine learning solutions to personalize content, segment users, and forecast behaviors such as churn, LTV, or feature adoption, and inform measurement strategies 

• Proactively identify user trends and market signals, turning them into high-impact recommendations that craft decisions and planning 

• Partner cross-functionally to craft compelling data stories and visualizations to present insights clearly to technical and non-technical audiences, including marketers, designers, product managers, and executives 

• Understand and improve product instrumentation by collaborating with insights and data engineering teams to ensure data completeness, quality, and usefulness for analysis 

• Guide automation and optimization of data pipelines using SQL and Python-based ETL frameworks; ensure scalable, reliable, and reproducible workflows for both exploratory and production use 

• Collaborate with other data scientists and analytics leaders to promote proficiency with data, build scalable analytics products, and elevate the team’s influence 

What you need to succeed 

• MS or PhD in Data Science, Statistics, Computer Science, Mathematics.

• 7+ years of data science experience, especially in marketing analytics, product analytics 

• Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.) within a cloud data platform (Databricks or similar) 

• Proficiency in Python for data analysis and modeling 

• Experience translating business questions into data analytics approaches 

• Proficiency with descriptive and inferential statistics (i.e., t-test, chi-square, ANOVA, correlation, regression, etc.) to understand customer engagement and generate hypotheses 

• Hands‑on with visualization tools like Tableau, Looker, Power BI, or equivalent libraries for dashboards and storytelling for both technical and non-technical audiences 

• Knowledge of relevant tools in this field such as Hadoop, Hive, Splunk, Spark, Tableau, Excel (Charting and Pivot-Tables), and Power BI 

• Natural curiosity, creative thinking, strong business sense, and polished communication skills 

• Strong teammate who thrives in a diverse, inclusive culture that values fresh ideas from everyone <