The OpportunityWe are hiring a dynamic, detail-minded Data Scientist to support the Creators segment on Adobe.com. Creators are a key growth area for Adobe, and this role will help shape how web performance drives meaningful business outcomes.
Our ideal candidate brings an outstanding blend of analytics, technical depth, and storytelling ability - someone who translates complex data into actionable insights for cross-functional partners. This individual is equally comfortable presenting executive-ready narratives as they are diving deep into clickstream and experimentation data, connecting multiple data sources, and building scalable reporting solutions that help teams move faster and make better decisions.
In this role, you will drive performance insight throughout user acquisition, engagement, experimentation, and conversion. You will analyze customer journeys end-to-end, uncover friction and growth opportunities, and support site optimization initiatives through rigorous experimentation analysis and behavioral diagnostics.
What You'll Do- Lead Web Performance analytics for the Creators business on Adobe.com.
- Deliver a clear, end-to-end view of performance across the customer journey and identify behavioral patterns, friction points, and opportunities to improve engagement and conversion.
- Identify trends, risks, and growth opportunities through structured analysis.
- Conduct hands-on analysis using Adobe Analytics and SQL to generate actionable insights.
- Apply statistical thinking when conducting and interpreting A/B test results to inform optimization decisions.
- Partner with Product teams to strengthen experimentation strategy and measurement.
- Build and refine key performance indicators, dashboards, and scalable reporting solutions that empower teams.
- Present findings in a clear and compelling way that drives action.
- Collaborate with Finance, Product Analytics, Engineering, and cross-functional partners to incorporate broader business context.
- Facilitate weekly prioritization discussions and support focused, transparent decision-making.
What You Need to SucceedEducation- A BS degree in Computer Science, Statistics, Engineering, Business, or a related field, or equivalent experience, is required.
Experience- 6-8+ years of experience in web analytics, experimentation, data science, or related data roles.
- Experience with Adobe Analytics or similar web analytics platforms.
- Experience conducting hands-on analysis of A/B test data, including validating statistical significance and translating results into optimization recommendations.
- Proficiency in SQL and experience working with clickstream data.
- Experience leading analytics projects from scoping through delivery.
- Experience working across cross-functional teams.
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 $133,100 -- $236,400 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 $163,200 - $236,400
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.
