Data Scientist
Lehi
- Pay
Multiple pay statements — pay source
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

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).
Read the full posting
What you’ll work on
Full postingOwn your work across the whole stack — from raw data and processing, through analysis, to data products downstream users and dashboards depend on.
Build and maintain the recurring analyses, metrics, and indices behind ADI’s digital economy reporting, turning clean inputs into trusted outputs.
Work AI-natively using ADI’s AI tools and agents to speed up exploration, analysis, and drafting, while keeping a careful human eye on quality and consistency.
From the employer’s posting
What you'll Do Own your work across the whole stack — from raw data and processing, through analysis, to data products downstream users and dashboards depend on. Query, prioritize, and mine large structured and unstructured datasets (Adobe Analytics, Experience Cloud, CJA, and licensed sources) to produce accurate, defensible insights.
Query, prioritize, and mine large structured and unstructured datasets (Adobe Analytics, Experience Cloud, CJA, and licensed sources) to produce accurate, defensible insights. Build and maintain the recurring analyses, metrics, and indices behind ADI’s digital economy reporting, turning clean inputs into trusted outputs. Flex to support any ADI topic as priorities shift across creativity trends, document efficiency, traffic based on data analysis, and product insights.
Run ad-hoc deep dives and answer time-sensitive questions from collaborators across Adobe. Work AI-natively using ADI’s AI tools and agents to speed up exploration, analysis, and drafting, while keeping a careful human eye on quality and consistency. Partner with engineering to define data requirements and improve the pipelines and datasets you rely on.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Work setup and employment type unconfirmed
Not confirmed in this saved copy: work setup, employment type. Check the full posting
Tools in this posting
- python
- r
- sql
- databricks
- tableau
- powerbi
Source — Tool mentions in context
- 4–6 years turning data into insight in an analytical, data science, or research role. - Strong data-analyst and insights skills querying with SQL and analyzing with Python to answer real business questions, not modeling for its own sake. - AI-native: proficient using AI and agentic tools to accelerate exploration, analysis, and drafting, with a careful human eye on quality.
- Experience working with survey data and methodology. - Familiarity with R or other scripting languages. About Adobe
- AI-native: proficient using AI and agentic tools to accelerate exploration, analysis, and drafting, with a careful human eye on quality. - Hands-on experience with Databricks (or a comparable large-scale data platform). - Strong analytical and quantitative problem-solving, forming hypotheses, testing them, and synthesizing clear recommendations.
- Experience with Adobe Analytics, Experience Cloud, or Customer Journey Analytics. - Data visualization tools (Tableau, Power BI, or D3). - Experience working with survey data and methodology.
Find answers in the posting
AIAlready applied? Track this application
About applying
Apply opens the employer’s site in a new tab. Add your outcome here after you submit.
Source details & eligibility
Before you apply
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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

More source context
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).
- Location & working pattern
Lehi
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
Posting history
- Status in our records
- Active
- First seen by us
- Sep 9, 2026
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorJob description
The Opportunity
Adobe Digital Insights (ADI) has been a leading authority on the global digital economy since 2013, building its analysis on trillions of visits, billions of online transactions, and the prompts behind billions of AI-generated assets crafted with Adobe Firefly. ADI works with creators, marketers, and business leaders, up to C-level leadership at Adobe’s largest customers, to help them understand how the digital economy is shifting and how their business is performing relative to industry peers using Adobe’s unique data.
ADI’s mission is to inspire and delight all of Adobe’s audiences with leading, credible, differentiated, data-driven insights. We are transitioning to an agentic AI operating model, where LLM-powered agents are embedded across the end-to-end insights lifecycle, from raw data to business-ready insight products to audience-ready narrative. This role puts you in the middle of that work as a hands-on analyst turning Adobe’s data into the insights and stories our audiences rely on.
Role Summary
We are seeking a Data Scientist to support ADI’s digital economy work first and foremost. You will query and develop large datasets into trusted, repeatable insights. You will build the digital economy metrics and reports ADI is known for, and stepping in wherever the team needs analytical horsepower, from analysis of US dollar inflation to benchmarking critical web metrics. This is a hands-on analysis role for someone who loves finding the story in the data and getting it right.
This is a full-stack role: you will work end to end from raw data through processing and analysis to the data products downstream users depend on. Along the way you will collaborate with engineering, analysts, architects, product managers, and leadership, becoming a go-to ADI subject-matter expert.
What you'll Do
- Own your work across the whole stack — from raw data and processing, through analysis, to data products downstream users and dashboards depend on.
- Query, prioritize, and mine large structured and unstructured datasets (Adobe Analytics, Experience Cloud, CJA, and licensed sources) to produce accurate, defensible insights.
- Build and maintain the recurring analyses, metrics, and indices behind ADI’s digital economy reporting, turning clean inputs into trusted outputs.
- Flex to support any ADI topic as priorities shift across creativity trends, document efficiency, traffic based on data analysis, and product insights.
- Turn analysis into clear narratives and visualizations that non-technical audiences can understand and act on.
- Run ad-hoc deep dives and answer time-sensitive questions from collaborators across Adobe.
- Work AI-natively using ADI’s AI tools and agents to speed up exploration, analysis, and drafting, while keeping a careful human eye on quality and consistency.
- Partner with engineering to define data requirements and improve the pipelines and datasets you rely on.
What you need to succeed
- A degree or equivalent experience in a quantitative field (economics, statistics, mathematics, data science, or similar).
- 4–6 years turning data into insight in an analytical, data science, or research role.
- Strong data-analyst and insights skills querying with SQL and analyzing with Python to answer real business questions, not modeling for its own sake.
- AI-native: proficient using AI and agentic tools to accelerate exploration, analysis, and drafting, with a careful human eye on quality.
- Hands-on experience with Databricks (or a comparable large-scale data platform).
- Strong analytical and quantitative problem-solving, forming hypotheses, testing them, and synthesizing clear recommendations.
- A knack for data storytelling: explaining complex findings simply, in both writing and visuals.
- Curiosity, care, and self-direction in a fast paced environment with shifting priorities; collaborative across teams and levels.
Nice to Have:
- Background in economics, econometrics, forecasting, or time-series analysis.
- Experience with Adobe Analytics, Experience Cloud, or Customer Journey Analytics.
- Data visualization tools (Tableau, Power BI, or D3).
- Experience working with survey data and methodology.
- Familiarity with R or other scripting languages.
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.