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Adobe Data Science Jobs (NOW HIRING)

Join us at Adobe Express and become involved in a groundbreaking initiative that's reshaping the way people express themselves. We're seeking a dynamic and motivated hands-on data scientist to join ...

Join us at Adobe Express and become involved in a groundbreaking initiative that's reshaping the way people express themselves. We're seeking a dynamic and motivated hands-on data scientist to join ...

Join us at Adobe Express and become involved in a groundbreaking initiative that's reshaping the way people express themselves. We're seeking a dynamic and motivated hands-on data scientist to join ...

Data Scientist

Seattle, WA · On-site

$158 - $229/hr

Join us at Adobe Express and become involved in a groundbreaking initiative that's reshaping the way people express themselves. We're seeking a dynamic and motivated hands‑on data scientist to join ...

We are looking for a Senior Data Scientist to take ownership of analytics for a defined area within ... Science, Economics, Engineering); Master's degree preferred. #FireflyGenAI About Adobe Adobe ...

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 customer and business analytics for Adobe's Creative Professional portfolio, spanning Creative Cloud All Apps, flagship ...

Join us at Adobe Express and become involved in a groundbreaking initiative that's reshaping the way people express themselves. We're seeking a dynamic and motivated hands-on data scientist to join ...

Join us and build Adobe's future products! What you'll Do * Partner with Product, Engineering, and Design as an embedded data science lead, translating ambiguous questions into structured analysis ...

Showing results 21-40

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 Aug 23, 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.

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?

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.

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.

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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Manager, Data Science - Acrobat & Express

Adobe

San Francisco, CA

Full-time

Re-posted 18 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

40th of 246 rated software companies


Job description

The Opportunity

Adobe is seeking a Senior Manager for Acrobat & Express Data Science. This role will lead data analysis related to audiences and customers for two of Adobe's most exciting businesses: Acrobat and Adobe Express.

Acrobat is one of Adobe's largest and fastest-growing businesses, helping millions of customers around the world create, edit, share, sign, and manage documents across web and desktop experiences. Adobe Express is an exciting newer offering that brings the power of Adobe's creative tools to a broader audience, making it easier for anyone to build standout content quickly and confidently.

This role sits at the center of how we understand customer behavior, diagnose business performance, and guide growth strategy across these businesses. You will lead a team responsible for analyzing the full customer funnel-from monthly active users to paywall traffic, conversion, orders, and financial performance-across key surfaces such as web and desktop. The team goes deep into what customers do, which actions drive conversion, and how product, marketing, and GTM teams can sustain momentum and unlock new growth.

This is a high-impact people leadership role at the intersection of data science, product analytics, marketing analytics, and business performance management. You will lead a distributed team of data scientists and work closely with senior leaders across Product, GTM, Marketing, and Finance to build strategy, set funnel goals, identify risks and opportunities, and translate insights into clear business action.

What You'll Do
  • Lead, mentor, and develop a high-performing distributed team of data scientists across the US and Europe.
  • Own audience and customer analytics for Acrobat and Adobe Express, with a focus on understanding end-to-end customer behavior across the digital funnel.
  • Analyze full-funnel performance across key surfaces, including web and desktop, from MAU to paywall traffic, conversion, orders, and ARR impact.
  • Identify the customer behaviors, product actions, and engagement patterns that drive conversion, such as which Acrobat verbs and workflows lead users to purchase.
  • Lead weekly business performance reviews and provide a clear narrative on what is driving performance, where the business is on track or off track, and what actions teams should take next.
  • Partner closely with Product, Marketing, Finance, and GTM leaders to connect product usage, traffic, conversion, and financial performance into one coordinated view of business health.
  • Help set funnel goals, targets, and leading indicators for growth, and guide cross-functional teams on how to sustain momentum across Acrobat and Express.
  • Apply advanced analytics and data science methods, including segmentation, forecasting, experimentation, funnel diagnostics, and predictive modeling, to improve decision-making.
  • Set the standard on analytical rigor, business storytelling, and executive communication, including regular engagement with VP-level Product and GTM leaders.
  • Translate complex data and customer behavior into simple, actionable recommendations that influence product roadmap, marketing strategy, and business planning.
What You'll Need to Succeed
  • 10+ years of experience in analytics, data science, or a related quantitative field, with strong business facing experience
  • 4+ years of people management experience, including leading and developing high performing teams of analysts or data scientists
  • Experience leading global or distributed teams, with the ability to develop clarity, alignment, and accountability across time zones.
  • Strong understanding of digital funnels, subscription businesses, product-led growth, customer engagement, conversion, and ARR-based business models.
  • Demonstrated ability to connect customer behavior, product usage, funnel performance, and financial outcomes into a clear business narrative.
  • Experience running business performance cadences, including weekly executive reviews, performance diagnostics, target tracking, and insight generation.
  • Strong cross-functional leadership skills and experience influencing senior collaborators across Finance, Marketing, Product, GTM, and Sales.
  • Solid foundation in analytics and data science methods, including experimentation, forecasting, segmentation, and predictive modeling.
  • Proficiency in SQL and Python or R, along with experience using visualization tools such as Tableau or Power BI.
  • Excellent communication skills, executive presence, and the ability to translate complex analysis into clear business recommendations.
  • Bachelor's degree or equivalent experience in a quantitative field required; advanced degree preferred, such as Master's in Analytics, Data Science, Statistics, or related field. MBA is a plus.

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 $144,800 -- $284,325 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 $196,400 - $284,325 In Washington, the pay range for this position is $178,600 - $258,700

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.


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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