Sr. Data Scientist

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

Were looking for a product- and customer-oriented Senior Data Scientist who is passionate about unlocking data insights that directly tie to strategic 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 ( Sigma)

Other Qualifications:

• Familiarity with front-end components or frameworks (e.g. React 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 candidates 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 Workdayscomprehensive benefits in Canada please click here. For more information regarding Workdays comprehensive benefits in the US please click here.

Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

At Workday we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point please email .

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