Staff Data Science Engineer

Adobe is seeking a Staff Data Scientist to improve the adoption and utilization of all their Experience Cloud products. This high-impact, high-visibility role is part of the Product and Customer Analytics team, using data science to quantify and optimize the product experience for customers. The ideal candidate will have a strong technical background, great communication skills, and project management abilities.

Key Responsibilities:

• Analyze data to measure changes in user engagement, driving customer growth and retention
• Work with causal inference and machine learning experts to measure impacts of new product features and user engagement programs
• Drive in-product personalization
• Collaborate with data engineers to automate data pipelines and scale experimentation and user analytics
• Build relationships across the Experience Cloud business unit to promote team capabilities and tools

Requirements:

• 10+ years of work experience in data science or related field
• Experience with building and deploying Machine Learning models on platforms like Databricks
• Strong understanding of Statistics & Hypothesis Testing
• Proficiency in Python (pandas, scikit-learn) and/or R (dplyr, ggplot2)
• Experience with SQL and big data processing
• Ability to translate analysis results into insights and business recommendations
• Strong communication and relationship management skills
• Problem-solving skills and ability to work in ambiguous environments

This role offers an exciting opportunity to work on complex business problems, find signals in noise, and drive product-led growth for Adobe's Experience Cloud products. The compensation range reflects the cost of labor across several U.S. geographic markets, with a range of $140,200 - $267,600 annually, varying based on job-related factors.