JOB LEVEL
P50
EMPLOYEE ROLE
Individual Contributor

The Opportunity

Join a high-impact team driving product growth and innovation at scale! The Express Data Science team is looking for a Principal Data Scientist, who thrives at the intersection of data, product, and strategy to help us unlock growth opportunities for Adobe Express.

For the next phase of Express Growth, we need a Data Science Leader that will lead Strategic Growth Levers, innovate and drive experimentation at scale, set the standard for Technical leadership and rigor within growth, and influence the broader org in the process. We need a leader for ambiguous, high-impact growth bets-connecting user behavior to business outcomes, while managing multiple workstreams together.

What You'll Do

• Identifying Growth Levers using Data - Lead growth opportunity identification across user lifecycle driving product engagement, improving retention and premium enablement.
• Build the next generation of experimentation beyond A/B tests to a fast, scalable and rigorous system - and synthesize takeaways across tests into durable product direction within the growth and data science. Partner with other data teams to innovate.
• Introduce new technologies and techniques within experimentation for the product, enhance experimentation strategy for Express, and drive efficiency and measurement at scale.
• Sets the bar for measurement quality, signal detection, and interpretability of results.
• Work with cross functional teams within express to bring consistency to experimentation architecture, success metric definitions, and analytic tooling.
• Ensures the team scales not just in size, but also in maturity and decision making
• Lead high-priority analytics projects that influence product direction and business strategy.
• Analyze user engagement, retention, and conversion data to surface actionable insights.
• Design and analyze tests to guide product development and optimize user experiences.
• Mentor junior team members and elevate data culture across the org.

What You'll Bring

• 10+ years of experience in product data science.
• Proven experience in experimentation
• Deep fluency in SQL and proficiency in Python or R.
• Demonstrates deep understanding of industry standards - Experience building causal and predictive models and working with large-scale behavioral datasets.
• Experience leading technical teams and driving data rigor
• Experience with Adobe Analytics, Amplitude, Tableau / Power BI
• A strategic approach with a bias for action and measurable outcomes.
• Strong communication skills-you simplify complexity and drive clarity.

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 $145,600 -- $276,400 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.

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.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll .

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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 applicable characteristics protected by law. Learn more.

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