Data Scientist, Workday
€66.8-100.2k
More information about location
2-3 days a week in office
Enterprise AI platform for managing HR, finance & IT
Be an early applicant
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Be an early applicant
€66.8-100.2k
More information about location
2-3 days a week in office
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 5 years of hands-on experience in Data Science, advanced product analytics, or statistical modeling
- 5 years of experience utilizing data-focused programming languages and writing advanced SQL queries
- Demonstrated success building and maintaining functional visualization solutions in Tableau
- Strong experience working with Data Warehousing (DW) architectures, stats warehouses, and diverse data lake formats
Desirable
- Deep understanding of statistics, data modeling, and experimental design (hypothesis testing, regression, time-series)
- Practical proficiency with Machine Learning, Deep Learning, or NLP frameworks (e.g., PyTorch, TensorFlow, NLTK)
- Familiarity with software development lifecycle concepts, including Git source control, Object-Oriented Design (OOD), CI/CD, and Docker containerization
- Strong technical writing and documentation abilities, with a natural talent for explaining complex technical data to non-technical stakeholders
- Excellent interpersonal and team mentoring skills
- Motivated to make a positive, scalable difference with the team and with the company
What the job involves
- Are you a thoughtful, critical thinker who enjoys taking on the unique challenges presented by data migrations and configuration movement across distributed systems?
- As a Data Scientist in Deployment Technology, you will look deeply at how our deployment and migration products are performing, identify opportunities for pipeline optimization, and translate complex technical metrics into meaningful narratives
- In this role, you will design living dashboards in Tableau for strategic consumption by leadership, help frame and advocate for our organization's most impactful AI/ML opportunities and mentor team members
- You will bridge the gap between our technical stats warehouse and data-driven product decisions, helping our deployment tools scale seamlessly
- Optimize Performance: Analyze product performance, migration logs, and system data to uncover trends and discover opportunities for architectural and workflow improvements
- Explore AI Opportunities: Scope, prioritize, and advocate for our most promising AI and Machine Learning opportunities to introduce intelligent automation into the deployment and data migration lifecycle
- Strategic Visualization: Design, build, and maintain high-impact, living dashboards in Tableau to communicate deployment health and product performance clearly to leadership and engineering stakeholders
- Data Modeling & Exploration: Extract and model data from our stats warehouse and NoSQL environments, utilizing Jupyter Notebooks to prototype predictive models and run advanced statistical analyses
- Drive Informed Decisions: Partner closely with Product Management and Engineering leaders to support product hypotheses with rigorous statistical evidence and data-backed storytelling
- Promote Best Practices: Follow agile methodologies and standard software development practices, contributing to high-quality documentation, robust version control, and rigorous QA for all data products
- Collaborate & Mentor: Cultivate a culture of continuous learning by mentoring team members, sharing technical insights, and collaborating across broader Workday teams
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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