Senior Data Scientist, Workday
CA$124.4-186.6k
Enterprise AI platform for managing HR, finance & IT
Open for applications
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Open for applications
CA$124.4-186.6k
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
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
- 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)
- 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
What the job involves
- 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
- 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
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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