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   

Adobe is seeking talented and passionate Data Science Engineers across all organizations. The team applies AI and machine learning techniques to big customer data to address and challenge business problems, such as driving go-to-market strategies, sales prioritization, increasing product engagement and customer service improvement.  

What You’ll Do   

• Extract and analyze data to understand the customer product life cycle and value realization from the product   

• Identify and report product features of high and low usage   

• Develop dashboards/reports that provide useful insights to business leaders   

• Develop scripts to automate data extraction from product databases   

• Develop in-house analytical tools that improve the productivity and efficiency of analytical tasks   

What You Need to Succeed   

• Bachelor’s or Master’s in Computer Science, Computer Engineering, Electrical Engineer, or equivalent experience required graduating between December 2024 – May 2025  

• Solid understanding of SQL and R/Python   

• Understanding of statistical modeling/machine learning/ data mining concepts, and a track record solving problems with these methods.   

• Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc.   

• 0 - 2 years of relative work experience