Data Scientist

Join Workday as a Data Scientist in Deployment Technology. In this role, you will analyze product performance, explore AI opportunities, design strategic visualizations, and drive informed decisions. You will collaborate with product management and engineering leaders, promote best practices, and mentor team members. The ideal candidate will have 5 years of experience in data science, advanced product analytics, or statistical modeling, and a strong understanding of statistics, data modeling, and experimental design.

• Analyze product performance, migration logs, and system data to uncover trends and discover opportunities for architectural and workflow improvements.
• Design, build, and maintain high-impact, living dashboards in Tableau to communicate deployment health and product performance clearly to leadership and engineering stakeholders.
• Partner closely with Product Management and Engineering leaders to support product hypotheses with rigorous statistical evidence and data-backed storytelling.

• Demonstrated success building and maintaining functional visualization solutions in Tableau
• 5 years of experience utilizing data-focused programming languages and writing advanced SQL queries
• 5 years of hands-on experience in Data Science, advanced product analytics, or statistical modeling
• Strong experience working with Data Warehousing (DW) architectures, stats warehouses, and diverse data lake formats
• Motivated to make a positive, scalable difference with the team and with the company
• 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