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About the Role

The Pro Design team at Adobe is seeking a Staff Data Scientist to be the analytical backbone of their product teams. This generalist role requires a strong statistics foundation and the ability to move fluidly between analysis, experimentation, and modeling to build Adobe's future products.

Responsibilities

• Partner with Product, Engineering, and Design as an embedded data science lead, translating ambiguous questions into structured analysis and actionable recommendations.
• Define and steward core product metrics, partnering with our analytics engineering foundation to keep definitions trustworthy and consistent.
• Develop and run experiments end to end and improve on experimental rigor throughout various products.
• Build predictive, propensity, or segmentation models, collaborating with applied scientists and ML engineers as those capabilities grow.
• Build internal data products that leverage AI to scale the team’s reach across the organization.

Requirements

• Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar) or equivalent practical experience.
• 10+ years of experience in data science, product analytics, or a similar quantitative role.
• Strong foundation in statistics and experimentation design, and advanced experimentation techniques (CUPED, sequential testing, heterogeneous treatment effects).
• Proficiency in SQL and Python (or R) for data manipulation, analysis, and modeling.
• Experience building segmentation and predictive models (propensity, churn, LTV) to drive product or marketing actions.
• Sound product judgment and stakeholder management.
• Fluency with AI-assisted and agentic workflows.

Skills

• Statistics
• Experimentation design
• Advanced experimentation techniques (CUPED, sequential testing, heterogeneous treatment effects)
• SQL
• Python
• R
• Segmentation models
• Predictive models (propensity, churn, LTV)
• AI-assisted workflows
• Agentic workflows
• Consumer product analytics
• Creative tools analytics
• SaaS analytics
• Subscription businesses analytics
• Online model evaluation
• Offline model evaluation
• Adobe Analytics
• Amplitude
• FullStory
• Experimentation platforms
• Databricks
• Spark

Location

• U.S.

Work Type

• Full-time

Experience Level

• 10+ years of experience

Education Level

• Bachelor's degree in a quantitative field or equivalent practical experience
• MS or Ph.D. in Statistics, Computer Science, Engineering, or relevant technical field, or equivalent experience (Preferred)

Salary/Compensations

• U.S. pay range: $154,900 -- $281,000 annually
• California pay range: $194,000 - $281,000

Benefits

• Comprehensive benefits programs

About the Company

• 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.
• 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.

Equal Opportunity

• 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.
• Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
• 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.
• It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.