Staff Data Scientist, International Product Marketing

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$154,900–$281,000 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $218k
$115k most similar roles pay here $299k

This role pays more than 70% of similar roles. Most pay $132,500–$228,425 — the shaded band above. At the midpoint, this role pays about $218k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 176 open roles on FindRole.

Listed pay typically runs $150,150–$270,950 across 176 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist, International Product Marketing

Role Posting Log in to save

Staff Data Scientist - International Product Marketing joins the International Product Marketing team to provide data-driven insights and operational rigor for international strategy, market prioritization, and go-to-market readiness. You will build and maintain market-level views of TAM, penetration, and growth potential while managing recurring analytics on Digital Ending ARR and adoption metrics like freemium and mobile-first motions. The role involves synthesizing qualitative research into actionable themes, maintaining self-serve insight repositories, and developing executive-level briefing materials for planning cadences. You will utilize SQL, BI tools, and data visualization to translate complex datasets into strategic recommendations. Preferred technical skills include Databricks on Azure or AWS and experience with generative AI and AI-assisted coding tools like GitHub Copilot or ChatGPT Enterprise. This role solves the challenge of translating global strategy into localized market plans across diverse international regions.

What does a Data Scientist earn in California?

Median $214000 from 71 postings across 26 companies.

See salary data

Skills

SQL Databricks Azure AWS Generative AI Data Visualization BI Tools SharePoint Market Sizing TAM/SAM Analysis Performance Analytics Claude Code OpenAI Codex GitHub Copilot Cursor ChatGPTEnterprise

What you'll do

  • Build and maintain market-level views of TAM, penetration, affordability, and growth potential for international markets.
  • Own recurring analytics and reporting on International Digital Ending ARR, growth targets, and fiscal year priorities.
  • Analyze trends across paid ARR, free MAU, mobile MAU, and new adoption motions like freemium models.
  • Synthesize qualitative customer insights from research teams into concise themes and actionable implications for regional markets.
  • Maintain structured, discoverable self-serve insight repositories to ensure data is accessible to internal teams.
  • Track international readiness for product launches, including language availability, local use cases, and pricing considerations.
  • Develop executive-level briefing materials and summaries for quarterly business reviews and planning cadences.
  • Create scalable templates and metrics to increase the repeatability of international marketing operations.

What we're looking for

  • MS in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, or related degree or equivalent experience.
  • 10+ years of experience in data science, analytics, or a related field.
  • Proven ability to perform end-to-end analysis and translate complex data into strategic recommendations for 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 (plus).
  • Experience using generative AI and AI-assisted coding tools within data science or engineering workflows.
  • Experience working across international time zones (preferred).

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