2026 Intern - Data Analytics

AdobeSan Jose, CA
2d$45 - $55Hybrid

About The Position

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 The Adobe Data Science team is looking for summer interns. The team applies advanced data analysis techniques including AI and machine learning to big customer data to solve business problems, such as driving go-to-market strategies, sales prioritization, increasing product engagement and customer service improvement. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.

Requirements

  • Currently enrolled full time and pursuing a Master's in Statistics, Mathematics, or Engineering is desired; or equivalent experience required with an expected graduation date of December 2026 - June 2027
  • 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.
  • Ability to participate in a full-time internship between May-September

Responsibilities

  • 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
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