2025 Intern - Data Scientist
Seattle
Adobe
Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.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!
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 DVA Data Science Team is seeking a Data Science Intern who is passionate about uncovering data-driven insights to improve customer experience in our products. We support a fantastic product suite including Premiere Pro, After Effects, Audition, Character Animator, and Project Violet: products that are used by creative professionals and hobbyists around the world to create rich video, audio, and animation content across a variety of media channels.
We are a diverse group of data professionals drawing from a broad spectrum of professional and academic backgrounds, including applied math, quantitative finance, cognitive neuroscience, and software engineering. We believe that there isn't just one path to success in data science and look forward to what unique skills and experiences you can bring to the team.
What You'll Do
Partner with our cross-functional Product Led Growth team to derive insights about customer product usage behaviors
Leverage data to deliver recommendations on how to improve in-product experiences and reduce friction in the editing process
Advocate for data-forward thinking within product management and engineering teams and help translate business questions to analytics approaches
What You Need to Succeed
BS/MS in an analytical field (statistics, applied math, computer science, etc), or equivalent experience
Proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.)
Familiarity with descriptive and inferential statistics (e.g. t-test, chi-square, ANOVA, correlation, regression, etc.) to understand usage behaviors and generate hypotheses
Understanding of statistical bias, and techniques used to minimize bias in analysis
Experience building clean data visualizations, and the skills to translate technical concepts into actionable insights
Interest in operating at the intersection of business, statistics, and engineering
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
Tags: ANOVA Computer Science CX Engineering Finance Mathematics Spark SQL Statistics
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