Staff Data Scientist

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Company Overview

A leading global software company is transforming professional design through intelligent, connected tools that combine creativity, collaboration, and artificial intelligence. Its Pro Design organization is focused on shaping the future of professional design by developing innovative products and experiences that help creators and teams work more efficiently while maintaining high standards of quality and craftsmanship.

The organization is seeking a Staff Data Scientist to serve as a key analytical leader within its product teams. This is a generalist data science role suited to an experienced professional with a strong statistical foundation who can move effectively between analysis, experimentation, and modeling while translating complex findings into clear, actionable recommendations.

The successful candidate will collaborate closely with Product, Engineering, and Design teams and will play an important role in shaping the future of AI-enabled creative products.

The Opportunity

The Staff Data Scientist will work as an embedded data science lead, translating ambiguous business and product questions into structured analyses and actionable recommendations. The role will involve defining trusted product metrics, leading experimentation, developing predictive models, and creating AI-powered internal data products that expand the impact of the data science organization.

Key Responsibilities

• Partner with Product, Engineering, and Design teams as an embedded data science lead.
• Translate ambiguous questions into structured analyses and actionable recommendations.
• Define and maintain core product metrics in partnership with analytics engineering teams.
• Ensure product metric definitions remain trustworthy, consistent, and reliable.
• Design, develop, and execute experiments from beginning to end.
• Improve experimental rigor across a range of products and use cases.
• Develop predictive, propensity, and segmentation models to support product and marketing decisions.
• Collaborate with applied scientists and machine learning engineers as modeling capabilities evolve.
• Develop internal data products that leverage AI to expand the reach and effectiveness of the data science team.
• Apply strong statistical methods and product judgment to guide business and product decisions.
• Communicate analytical findings clearly to technical and non-technical stakeholders.

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a similar quantitative field, or equivalent practical experience.
• 10+ years of experience in data science, product analytics, or a related quantitative discipline.
• Strong foundation in statistics and experimental design.
• Experience with advanced experimentation techniques, including CUPED, sequential testing, and heterogeneous treatment effects.
• Proficiency in SQL and Python or R for data manipulation, analysis, and modeling.
• Experience developing segmentation and predictive models, including propensity, churn, and customer lifetime value models.
• Strong product judgment and stakeholder management skills.
• Experience working with AI-assisted and agentic workflows.

Preferred Qualifications

• Master’s degree or Ph.D. in Statistics, Computer Science, Engineering, or a related technical field, or equivalent professional experience.
• Background in consumer product analytics, particularly within creative tools, SaaS, or subscription-based businesses.
• Deep expertise in online and offline model evaluation.
• Familiarity with product analytics and experimentation platforms.
• Experience with tools such as Adobe Analytics, Amplitude, or FullStory.
• Experience working with modern data stacks, preferably Databricks and Spark.
• Strong ability to collaborate across Product, Engineering, Design, and other cross-functional teams.
• Experience applying advanced analytics and data science techniques to complex product challenges.

Disclaimer

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