Staff Data Scientist - International Product Marketing

The Opportunity

We are looking for a Staff Data Scientist to support Adobe's International Product Marketing (PMM) team. This role sits at the center of international decision‑making, providing data‑driven insights, operational rigor, and execution support across international strategy, market prioritization, customer insights, and go‑to‑market readiness.

You will partner closely with International PMM leaders, regional heads, Strategy & Operations, Research, Finance, ISPM, GMO, and GTM teams to translate global strategy into clear, actionable, market‑level insights and plans. This is a high‑impact role for someone who thrives on ambiguous business problems, operates with autonomy, and can influence at a leadership level across international collaborator groups.

• Build and maintain market‑level views of TAM, penetration, affordability, growth potential, and readiness signals to support international market prioritization, including mature markets and 'Go Big / Go Mammoth' emerging markets such as India and Brazil.
• Own recurring analytics and reporting on International Digital Ending ARR, growth targets, and FY priorities. Analyze trends across paid ARR, free MAU, mobile MAU, and adoption of new motions such as freemium, mobile‑first, and student offers.
• Partner with the International Research team to synthesize customer round tables, interviews, and qualitative insights across regions into concise themes and implications. Own and maintain self‑serve insight repositories (e.g., SharePoint, PDF Spaces, Goldmine) that are structured, discoverable, and actively used.
• Track and support international readiness across launches‑including language availability, product dependencies, and regional GTM considerations‑and analyze local use cases, culturalized messaging needs, and pricing/affordability for launch sequencing.
• Develop executive‑level briefing materials, pre‑reads, and summaries for QBRs, planning cadences, and regional syncs. Build scalable templates, metrics, and operating rhythms that increase repeatability of international PMM work across teams.

• 10+ years of experience in data science, analytics, or a related field, ideally with international or go‑to‑market exposure.
• Proven ability to implement end‑to‑end analysis autonomously and translate complex data into strategic recommendations for senior and executive audiences.
• Strong proficiency in SQL, BI tools, and data visualization; experience with market sizing, TAM/SAM analysis, and performance analytics preferred. Experience with Databricks (on Azure or AWS) is a plus.
• Track record of developing scalable tools and processes that benefit multiple functional groups, and of influencing at a leadership level across cross‑functional and international collaborators.
• Exceptional written and verbal communication skills; ability to craft compelling executive narratives from complex, ambiguous data sets.
• Experience using generative AI and AI‑assisted coding tools (e.g., Claude Code, OpenAI Codex, Git Hub Copilot, Cursor, ChatGPTEnterprise) within data science or engineering workflows.
• Availability to participate in cross‑over meetings with EMEA PMM partners; experience working across international time zones preferred.
• MS in a quantitative field (Statistics, Computer Science, Economics, Mathematics, or related) or equivalent experience.

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 $138,600 – $277,750 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 $191,800 – $277,750.

In addition, certain roles may be eligible for long‑term incentives in the form of a new hire equity award.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national…