2027 University Graduate - People Data Scientist

The Opportunity

The People Data Scientist will join our People Analytics team within Employee Experience, and report to the Sr. Mgr, People Data Science. This incredible role will work with a team of analysts, data scientists, and data engineers to derive insights and recommendations that inform strategic people-related decisions. This is an opportunity well suited to someone early in their career who is ready to apply their analytical and technical training to real-world people data problems, including the development of AI-powered tools that help scale people analytics work!

What You'll Do

• Conduct analytical deep dives on complex data, and communicate takeaways to (non-analytical) partners to aid their decision making

• Explore, prototype, and iterate on insights from internal data and research, with mentorship on what and how to scale

• Develop predictive models to forecast outcomes and inform people decisions

• Build and refine AI-powered tools, bots, and agents (e.g., using LLMs) that help make people data and insights more accessible across the organization

• Help automate recurring analyses (e.g., via R or Python scripts)

• Demonstrate deep care for the ethical implications of working with employee data and follow team practices for privacy and legal compliance

• Support the definition of key people metrics, including data elements, logic, and implementation, and help evaluate new data signals

• Partner with other technical teams to help maintain a solid foundation for managing, processing, and analyzing data efficiently and securely

What You Need to Succeed

• PhD (or equivalent experience) in Industrial-Organizational Psychology, Cognitive Science, Data Science, Human-Computer Interaction, or a related field

• Experience applying statistical and/or machine learning techniques to people data (e.g., survey data, HRIS data, human behavior or product interaction data), gained through academic, research, or internship experience

• Knowledge of statistical methods (e.g., regression, cluster analysis, text analysis, forecasting/predictive models, ML, etc.)

• Proficiency in data querying, hypothesis testing, and analysis using tools such as SQL, Python, and R

• Exposure to building or working with AI/LLM-powered tools and agent frameworks is a plus

• Ability to craft clear, compelling, and truthful insights from complex data

• Strong verbal and written communication skills, with the ability to convey data insights to non-technical partners

• Ability to work collaboratively across functions within an organization

• Strong analytical and problem-solving skills

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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 protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process 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.

AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

 

Expected Pay Range:

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. 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.

In California, the pay range for this position is $138,600 - $200,700

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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:

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.