2026 University Graduate - Data Scientist

Adobe • San Jose, CA

2d • $90,000 - $164,250

About The Position

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! As a Data Scientist on the Monetization Growth organization, you will be a critical part of the team building delightful experiences driving customer success and tangible business growth. We are looking for candidates who are passionate about using statistical, analytical, and machine learning techniques to extract, analyze, and interpret large volumes of data, thereby transforming it into meaningful information to drive decision-making and optimize outcomes. The ideal candidate will have a combination of strong technical skills along with the ability to work with a diverse, distributed multi-functional team

Requirements

• Bachelor's or Master’s in Computer Science, Computer Engineering, Data Science, Statistics, or equivalent experience required graduating between December 2025 – June 2026
• 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

Responsibilities

• Conduct sound statistical analysis of user revenue growth programs and A/B experiments to recognize patterns that lead to actionable insights.
• Identify biases in data collection and observation.
• Interpret the results and then simplify and synthesize them for partners, using a wide range of visualization and storytelling techniques.
• Be a specialist of stitching and calibrating sparse and noisy semi-structured or unstructured data across various data sources.
• Partner with experts across multiple functions to understand customer behavior and pain-points and use insights to make recommendations to improve product and customer experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees