Director, Analytics & Data Science
Frame.ioThe Opportunity
We are seeking an experienced Data Scientist to join the Pro Design team!
You will partner closely with Marketing, Product, and Engineering teams to develop data science insights and solutions that inform our overall product/business strategy, acquisition strategies, optimize retention, and forecast demand. Your work will directly influence the Pro Design roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics.
What you'll Do
Define and drive a culture of analytical rigor, including implementing scalable tools and processes that drive visibility, accountability, and action.
Develop and refine customer segmentation models using unsupervised learning techniques to identify behavioral clusters and inform targeting strategies.
Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends.
Define and exemplify the value of customers over and develop strategies to improve it in acquisition and retention processes.
Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies.
Create reusable machine learning pipelines and data artifacts that scale across the organization.
Collaborate with cross-functional teams to design experiments and interpret results, including A/B testing and cohort analyses.
Share complex modeling outcomes and insights with both technical and non-technical collaborators.
What you need to succeed
10+ years of experience in data science or advanced analytics.
Proven track record in building high performing data science/analytics teams that are diverse, highly collaborative, and work across functions and geographies.
Strong communication skills and a track record of influencing stakeholders, peers, and leaders.
Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.
Experience with Databricks or similar cloud-based data platforms.
Deep understanding of time series forecasting, including ARIMA, Prophet, and other statistical models.
Proven ability to build and deploy unsupervised learning models for customer segmentation.
Expertise in data visualization tools like Tableau or equivalent.
Strong foundation in statistical modeling, experimentation, and lifecycle analytics.
Ability to work independently and lead complex projects from ideation to delivery.
BS degree in computer science or a related degree is required or equivalent practical experience
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 position is $171,900 -- $339,850 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 $234,700 - $339,850

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.