Sr. Data Scientist

Workday•Vancouver, BC

7d•$148,200 - $263,300•Hybrid

About The Position

Workday stands at a pivotal point in its evolution and growth. As we accelerate our Enterprise AI Transformation we must focus with equal intensity on scaling our execution to enable a rapid speed of continuous innovation for our customers. The Product & Technology (P&T) Operations Analytics & Tools Team develops decision-ready internal products that turn complex organizational data into targeted leadership action. Our vision is to: Power the strategic intelligence that scales how P&T operates with alignment and speed. We're looking for a product- and customer-oriented Senior Data Scientist who 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.

Requirements

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)
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

Nice To Haves

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)

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.