Senior Product Data Scientist

Join Workday as a Senior Product Data Scientist, where you'll be the analytics partner for the Workday Data Cloud business. This role requires a passion for unlocking data insights that directly tie to strategic execution. You'll work closely with the Data Cloud organization, diving into raw business data, finding root causes, and delivering decision-ready conclusions. You'll also serve as the business analytics domain expert, partner cross-functionally, and translate complex data models into compelling narratives.

You default to curating and documenting what you learn, because you know the same data landscape will get harder questions tomorrow

You're comfortable moving between hands-on data work and strategic, executive-level framing

Responsibilities

• Diving into raw business data to find root causes and deliver decision-ready conclusions.
• Partnering cross-functionally to develop end-to-end views of the business, connecting top-of-funnel demand growth to downstream product usage.
• Designing and influencing internal business data connections, collaborating with Product Management and engineering teams on associated pipelines.
• “Think Like a Scientist” is ingrained in how you work - always hypothesizing, always experimenting, always learning
• You embody the qualities of an insightful, thoughtful, and reliable teammate - and you expect the same of your teammates
• You're energized, not intimidated, by building trust, process, and domain expertise in a new, growing business space

Requirements

Learning new tools and technologies motivates you

• You have strong business acumen and are outcomes focused
• You thrive in a fast-paced, tech start-up like environment where the best ideas win
• You possess a deep interest in grasping the complex challenges that businesses face, and you are excited by solving problems
• 6-8 years experience working autonomously in a highly matrixed, collaborative corporate environment
• 8+ years experience simplifying complex technical concepts for diverse stakeholders
• 8+ years of experience with advanced analytics, statistical modeling, and/or data science
• 5+ years experience in business/product analytics, applied data science, or a related quantitative role, ideally supporting a product or platform organization
• 5+ years experience in enterprise BI platforms (e.g.,Tableau, Sigma)
• Working familiarity with cloud data pipelines/ETL concepts (e.g., Airflow) sufficient to partner effectively with data engineering and platform product management teams
• Experience with SaaS pricing analytics or usage-based/consumption pricing models specifically
• Familiarity with front-end components or frameworks (e.g., React, Node.js, JavaScript) to help collaborate with engineering peers
• Strong project management skills
• Strong SQL and data-modeling skills; comfortable working directly in raw, partially documented, or partially instrumented datasets

Strong communication and data storytelling skills

• Experience on AWS stack (Redshift, Sagemaker), scripting languages (Python and R)
• Demonstrated experience designing, developing, and maintaining enterprise production-level data science-based products for business decision-making
• Experience applying organizational change management principles
• Understanding of product management fundamentals
• Degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, Economics, or a related field) or equivalent practical experience
• Experience working within an Agile/Scrum framework

Preferred

• Experience within the SaaS, cloud, or enterprise technology industries