Adobe
2026 University Graduate – Data Scientist
Apply for the 2026 University Graduate – Data Scientist role at Adobe.
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 realise that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Position 2026 University Graduate – Data Scientist
Req ID: R158623
Location: San Jose
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, analyse, and interpret large volumes of data, thereby turning it into meaningful information to drive decision‑making and optimise 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 programmes and A/B experiments to recognise patterns that lead to actionable insights. Identify biases in data collection and observation.
Interpret the results and then simplify and synthesise them for partners, using a wide range of visualisation 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 behaviour and pain‑points and use insights to make recommendations to improve product and customer experience.
What You Need To Succeed
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 modelling/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
Our compensation reflects the cost of labour across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $86,300 – $158,900 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
State‑Specific Notices
California: Fair Chance Ordinances
– Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice
– If this role is open to hiring in Colorado (as listed on the job posting), 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. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Legal Notice
– 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.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or colour, 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.
#J-18808-Ljbffr
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 realise that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Position 2026 University Graduate – Data Scientist
Req ID: R158623
Location: San Jose
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, analyse, and interpret large volumes of data, thereby turning it into meaningful information to drive decision‑making and optimise 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 programmes and A/B experiments to recognise patterns that lead to actionable insights. Identify biases in data collection and observation.
Interpret the results and then simplify and synthesise them for partners, using a wide range of visualisation 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 behaviour and pain‑points and use insights to make recommendations to improve product and customer experience.
What You Need To Succeed
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 modelling/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
Our compensation reflects the cost of labour across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $86,300 – $158,900 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
State‑Specific Notices
California: Fair Chance Ordinances
– Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice
– If this role is open to hiring in Colorado (as listed on the job posting), 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. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Legal Notice
– 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.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or colour, 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.
#J-18808-Ljbffr