Our CompanyChanging 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 OpportunityDo you love to solve complex business problems and use data to find the signal in the noise? Join the Product and Customer Analytics team at Adobe! We are a high-impact, high-visibility team well-suited to individuals with a highly quantitative, inquisitive bent of mind. We use data science to quantify and optimize the product experience for our customers! The ideal candidate will be able to work autonomously and will have a technical background with great communication and project management skills.You will use data to help product, marketing and engineering teams achieve operational and execution efficiencies. Your success is predicated on finding opportunities and providing insights that enable our enterprise business to lower customer churn, increase user engagement, and facilitate product-led growth.All 2024 Adobe interns will be ‘co-located hybrid. This means that interns will be assigned to an Adobe office location, but in-office schedules will be flexible and determined by team. All interns must live in the same state, country, and within commuting distance of their assigned Adobe office so they can be on-site as needed. What You Will DoThe intern will be expected to serve as an individual contributor and will work with various members of the Product Data Science teams to construct functioning prototypes using real-world big data. This will be achieved by employing techniques in statistical modeling, machine learning, causal inference, and software development. The prototypes will be crafted to produce valuable insights that will be leveraged to develop highly effective programs for Adobe's Experience Cloud products.What You Need to SucceedCurrently enrolled full time and pursuing a MS or PhD degree in Statistics, Mathematics, Engineering or related fields are strongly preferred; or equivalent experience requiredStrong Proficiency with statistical programming software like Python (pandas, scikit-learn, etc.) and/or R (dplyr, ggplot2, etc.)Solid understanding of Statistics & Hypothesis TestingExperience with predictive modeling and (supervised and unsupervised) machine learning algorithmsExperience in querying, manipulating, and analyzing large data sets using SQL and/or SQL-like languages.Familiarity with version control software GitHub and data visualization tools such as Tableau or PowerBIUnderstanding of Experimental Design, Measurement (A/B Testing), and Causal Inference methodsAbility to participate in a full-time internship between May-SeptemberOur compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.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.
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