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Adobe Data Science Jobs (NOW HIRING)

Senior Manager, GTM Data Science

San Jose, CA · On-site

$148K - $195K/yr

The Opportunity Adobe is looking for a Senior Manager, GTM Data Science to lead a team focused on acquisition, conversion, trials, and gross new ARR growth across the digital customer journey. This ...

Senior Data Scientist

San Francisco, CA · On-site

$133K - $236K/yr

... Science & Analytics team, you will be a critical partner in driving the strategy for Adobe.com B2C ... Use exploratory data analysis to uncover hidden patterns in the customer journey. You'll ...

The Opportunity Join Adobe's dynamic Data Platform team as a Technical Data Product Manager located ... Bachelor's degree or equivalent experience in Data Science, Computer Science, or a similar area, or ...

Senior Data Scientist

San Jose, CA · On-site

$133K - $236K/yr

... Science & Analytics team, you will be a critical partner in driving the strategy for Adobe.com B2C ... Use exploratory data analysis to uncover hidden patterns in the customer journey. You'll ...

Data Scientist

San Francisco, CA · On-site

$109K - $200K/yr

Master's or PhD in Computer Science, Data Science, Statistics, or a related field of study ... Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly ...

Senior Data Scientist

San Jose, CA · On-site

$133K - $236K/yr

... Science & Analytics team, you will be a critical partner in driving the strategy for Adobe.com B2C ... Use exploratory data analysis to uncover hidden patterns in the customer journey. You'll ...

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Adobe Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do adobe data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for adobe data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is 30 too late for data science?

Age is not a barrier to becoming a data scientist, including in roles like Adobe Data Science. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Success depends on your skills, experience, and continuous learning rather than age.

Is 40 too late for data science?

Age is not a barrier to entering data science roles, including positions like Adobe Data Science. Success depends on skills, experience, and continuous learning of tools like Python, R, and machine learning techniques, regardless of age.

What is the difference between Adobe Data Science vs Data Analyst?

AspectAdobe Data ScienceData Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of Adobe toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentCollaborative teams within tech and digital marketing sectors, often using Adobe Experience CloudBusiness units across various industries, focusing on data reporting and insights
Employer & Industry UsagePrimarily in digital marketing, advertising, and tech companies utilizing Adobe platformsAcross finance, healthcare, retail, and other sectors requiring data interpretation

Adobe Data Science roles focus on developing predictive models and advanced analytics within Adobe's ecosystem, often requiring programming and machine learning skills. Data Analysts primarily interpret data, generate reports, and support decision-making through visualization and basic analysis. While both roles involve working with data, Adobe Data Science positions are more technical and model-driven, whereas Data Analysts focus on insights and reporting.

What is Adobe Data Science?

Adobe Data Science refers to the field of using data-driven techniques such as machine learning, statistics, and analytics within Adobe's ecosystem to solve business problems, enhance products, and optimize user experiences. Data scientists at Adobe analyze large datasets from products like Adobe Creative Cloud and Adobe Experience Cloud to extract insights, build predictive models, and support decision-making. Their work often involves collaborating with engineering, product, and marketing teams to deliver actionable results that drive Adobe’s innovation and growth.

What are the key skills and qualifications needed to thrive as an Adobe Data Scientist, and why are they important?

To thrive as an Adobe Data Scientist, you need a strong background in statistics, machine learning, data analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and Adobe Analytics, along with experience using data visualization platforms and cloud computing, is highly valued. Effective communication, problem-solving, and the ability to collaborate with cross-functional teams are essential soft skills in this role. These competencies enable data scientists to extract actionable insights, drive business strategy, and deliver value from complex datasets.

How do Adobe Data Scientists typically collaborate with product and engineering teams on new features?

Adobe Data Scientists play a key role in cross-functional teams by working closely with product managers and engineers to design, implement, and evaluate new product features. They analyze user data to identify trends and provide actionable insights, often participating in brainstorming sessions and sprint planning. Regular communication is essential, as data scientists translate complex findings into clear recommendations, ensuring that data-driven decisions support business objectives. This collaborative environment offers opportunities to influence product direction while developing both technical and interpersonal skills.

Is it difficult to get a job at Adobe?

Getting a Data Science role at Adobe can be competitive, requiring strong technical skills in machine learning, statistics, and programming, as well as relevant experience and a solid portfolio. Candidates often go through multiple interview rounds that assess technical knowledge, problem-solving, and cultural fit. Preparing thoroughly and demonstrating expertise in tools like Python, R, and data analysis is essential for success.

What is the salary of a data scientist in Adobe?

The salary of a data scientist at Adobe typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill set. Adobe values expertise in machine learning, statistical analysis, and proficiency with tools like Python and SQL for this role.
More about Adobe Data Science jobs
What states have the most Adobe Data Science jobs? States with the most job openings for Adobe Data Science jobs include:
Infographic showing various Adobe Data Science job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 17% Full Time, 60% Part Time, and 18% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist, Product Analytics

Senior Data Scientist, Product Analytics

Adobe

Seattle, WA • On-site

Full-time

Posted 8 days ago


Job description

The Adobe Digital Imaging Data Science Team is looking for a Senior Data Scientist passionate about data and delivering an outstanding product experience. We use extensive product usage data and work closely with product managers, marketing managers, and software engineers to derive insights and build a foundation for reliable data-driven decision-making. You will focus on initiatives like product analytics, dashboards, data engineering, GTM analytics, growth and more. Your main role is to develop and maintain a strong data architecture that enhances reporting, analytics, and experimentation. Over time, you will apply predictive modeling and machine learning to help the organization improve customer experiences. Join us and drive meaningful change in Adobe's most exciting areas!

Responsibilities:
  • Partner with product and engineering teams to understand existing product instrumentation and help bridge gaps in data streams to assist data science initiatives.
  • Analyze product usage patterns to better understand customer behavior including acquisition, engagement, conversion, and retention.
  • Proactively identify user trends and communicate relevant insights to assist product decision-making.
  • Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks.
  • Build and maintain various dashboards to inform the team about the state of the business, as well as to alert business partners when issues occur.
  • Architect and implement models to recommend personalized in-app content.
  • Drive A/B and multivariate tests and build feature-level experiments to validate hypotheses and influence product development decisions.
Requirements:
  • MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics, or equivalent experience.
  • 5 - 7+ years of relevant data science experience.
  • Experience translating business questions into data analytics approaches.
  • Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.).
  • Experience developing and operationalizing consistent approaches to experimentation, using appropriate statistical techniques to reduce bias and interpret statistical significance.
  • Proficiency with descriptive and inferential statistics (i.e., t-test, chi-square, ANOVA, correlation, regression, etc.) to understand customer engagement and generate hypotheses.
  • Experience crafting data visualizations and storytelling to efficiently communicate analysis results to both technical and non-technical audiences.
  • Knowledge of relevant tools in this field such as Hadoop, Hive, Splunk, Spark, Tableau, Excel (Charting and Pivot-Tables), and Power BI.
  • Experience in product instrumentation is a plus.
  • Possess natural curiosity and technical competence, being capable of asking critical questions and always ready to address any challenges.
  • Experience addressing an executive level audience.
  • Excellent communication, relationship skills, and a strong teammate.

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 or call +1 408-536-3015.

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 positionis $133,100 -- $236,400 annually. Paywithin this range varies by work locationand 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 $163,200 - $236,400 In Washington, the pay range for this position is $157,900 - $228,575

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.


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982