Über
Data Scientist
role at
Adobe .
Adobe is changing the world through digital experiences. 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.
The Opportunity 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.
What You’ll Do
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 You Need To Succeed
Master’s or PhD in Computer Science, Data Science, Statistics, or a related field of study. Alternatively, a Bachelor’s degree with relevant practical experience.
Minimum 3 years of experience as a Data Scientist or in a similar role.
Experience with hypothesis or A/B test analyses with in-depth understanding of the statistical concepts involved.
Hands‑on experience working with large data sets. Prior experience with a big data platform like Databricks, Apache Spark or Apache Hadoop.
Expert in at least one programming or data manipulation language, preferably Python and SQL.
Data storytelling skills.
Excellent oral and written communication.
Our 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 $109,000 – $200,700 annually. In California, the pay range is $138,600 – $200,700.
State‑Specific Notices California:
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations.
Massachusetts:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Equal Employment Opportunity Adobe is proud to be an Equal Employment Opportunity 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.
Accessibility 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Advertising Services, IT Services and IT Consulting, and Software Development
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Sprachkenntnisse
- English
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