Senior Product Data Scientist

Who you are

• You possess a deep interest in grasping the complex challenges that businesses face, and you are excited by solving problems
• You have strong business acumen and are outcomes focused
• Learning new tools and technologies motivates you
• You embody the qualities of an insightful, thoughtful, and reliable teammate - and you expect the same of your teammates
• You thrive in a fast-paced, tech start-up like environment where the best ideas win
• “Think Like a Scientist” is ingrained in how you work - always hypothesizing, always experimenting, always learning
• You're energized, not intimidated, by building trust, process, and domain expertise in a new, growing business space
• 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
• 8+ years of experience with advanced analytics, statistical modeling, and/or data science
• 8+ years experience simplifying complex technical concepts for diverse stakeholders
• 6-8 years experience working autonomously in a highly matrixed, collaborative corporate environment
• 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)
• Strong SQL and data-modeling skills; comfortable working directly in raw, partially documented, or partially instrumented datasets
• Familiarity with front-end components or frameworks (e.g., React, Node.js, JavaScript) to help collaborate with engineering peers
• 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
• Strong project management skills
• Experience applying organizational change management principles
• Experience working within an Agile/Scrum framework
• Experience within the SaaS, cloud, or enterprise technology industries
• Strong communication and data storytelling skills
• Demonstrated experience designing, developing, and maintaining enterprise production-level data science-based products for business decision-making
• Experience on AWS stack (Redshift, Sagemaker), scripting languages (Python and R)
• Degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, Economics, or a related field) or equivalent practical experience
• Understanding of product management fundamentals

What the job involves

• We're looking for a business, product, and customer-oriented Senior Product Data Scientist to be the analytics partner for the Workday Data Cloud business
• This role requires focused passion and excitement unlocking data insights that directly tie to strategic execution
• This role sits at the intersection of Workday's Data Cloud business, partnering directly with the Data Cloud organization (SVP/GM, Product Management, Engineering, and GTM teams) to bring analytical rigor and powerful business insights to a fast-growing, consumption-based product line
• You will be the investigatory lead on a number of broad business questions
• You will dive into the raw business data, find the root cause, and deliver an opinionated, decision-ready conclusion, not just more data
• You'll need to become a genuine subject-matter expert in Workday Data Cloud's business data landscape, working closely with the Workday Data Cloud GM and Product Management team
• Your findings, and the curated data and documentation you produce along the way, should compound: feeding a shared knowledge base that makes the next question easier to answer, for you and for AI-assisted tooling built on top of the same body of work
• Serve as the business analytics domain expert for Workday Data Cloud, providing technical and strategic thought leadership
• Partner cross-functionally across Go-To-Market (GTM) and Product teams to develop end-to-end views of the business, connecting the dots between top-of-funnel demand growth, sales pipeline, and downstream product usage
• Translate complex data models into compelling narratives and stories (including interactive visualizations and executive presentations) that drive organizational clarity
• Operate directly with SVP/GM-level stakeholders, translating a stream of layered, high-velocity questions into structured analysis without needing fully scoped requirements up front
• Translate ambiguous business, data, and platform questions into simple and focused conclusions, independently and with strategic judgment
• Support consumption-based pricing and impact analysis for Workday Data Cloud, including sensitivity analysis, exploring new business models and driving business growth
• Navigate real data-maturity and instrumentation gaps with autonomy: identifying what already exists, what must be built, and when to escalate
• Contribute well-documented, curated data assets and context back into the shared knowledge base so that analysis compounds over time and can eventually be self-served
• Design and influence Workday Data Cloud internal business data connections, collaborating with Product Management and engineering teams on the design, scalability, and sustainability of associated pipelines
• Leverage strong data ETL and data processing expertise to manage multi-step flows across product telemetry and observability systems
• Demonstrate urgency and autonomy in problem-solving, proactively navigating cross-functional teams to identify and implement solutions for both known and emerging business challenges