Staff Data Scientist: Product Analytics & AI Strategy

Adobe; San Francisco (CA); On-site; USD 194,000 - 281,000; Full time

Job summary

Adobe’s Pro Design team in San Francisco is seeking a Staff Data Scientist to serve as the analytical backbone of our product teams, translating ambiguous questions into structured analysis and actionable recommendations. You will define core product metrics, run end-to-end experiments, build predictive models, and collaborate with ML engineers to scale AI-enabled data products across the organization.

This generalist role requires a strong statistics foundation and rigorous methods, with

Qualifications

• 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

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.

Skills

Statistics

Experimentation

SQL

Python

R

Modeling

A/B testing

Data analysis

Stakeholder management

Education

Bachelor's degree in a quantitative field

MS/Ph.D. preferred

Tools

Databricks

Spark

Adobe Analytics

Experimentation platforms

Job description

Adobe’s Pro Design team in San Francisco is seeking a Staff Data Scientist to serve as the analytical backbone of our product teams, translating ambiguous questions into structured analysis and actionable recommendations. You will define core product metrics, run end-to-end experiments, build predictive models, and collaborate with ML engineers to scale AI-enabled data products across the organization.

This generalist role requires a strong statistics foundation and rigorous methods, with