Sr. Data Scientist

About the Role

We're looking for a product- and customer-oriented Senior Data Scientistwho is passionate about unlocking data insights that directly tie to strategic execution. In this role, you will be responsible for delivering Workday Product Adoption Insights, objectively evaluating whether the features and AI agents we build are truly delivering the strategic value intended for our business and customers.

To achieve this, you will partner closely with cross-functional teams to source and analyze adoption data from across the enterprise. The outcomes of your work will culminate in strategy-aligned insights, ensuring we scale our greatest accomplishments and continuously optimize the Workday Customer Experience.

Key Responsibilities

• Serve as the P&T domain expert in product adoption analytics, providing technical and strategic thought leadership.

• Partner with key technical leaders and domain experts across Workday to map the data landscape, bringing transparency and data accessibility to key decision-makers.

• Design and influence enterprise-wide adoption analytics data connections, collaborating with data engineering teams on the design, scalability, and sustainability of associated pipelines.

• Translate complex data models into compelling narratives and data visualizations (including interactive dashboards and executive presentations) that drive organizational clarity.

• Provide guidance on data trends, governance, and use cases to stakeholders across all levels of the organization.

• Evangelize a customer-value-first approach to evaluating product health and adoption metrics.

• Forensic data investigation to identify root causes and translate technical findings into simple and focused conclusions.

• Leverage strong data ETL and data flow expertise to manage multi-step product telemetry and observability systems, ensuring data integrity.

• Demonstrate urgency and autonomy in problem-solving, proactively navigating cross-functional teams to identify and implement solutions for both known and emerging business challenges.

About You

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.

Basic Qualifications

• 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 enterprise BI platforms (e.g.,Tableau, Sigma)

Other Qualifications:

• Familiarity with front-end components or frameworks (e.g., React, Node.js, JavaScript) to help collaborate with engineering peers.

• 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

• Proven track record of moving seamlessly between high-level strategy and technical execution

• 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

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits in Canada, please . For more information regarding Workday’s comprehensive benefits in the US, please .

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $124,400 - $186,600 CADAdditional US Location(s) Base Pay Range: $148,200 USD - $263,300 USD