Data Scientist

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.

Responsibilities

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.

Requirements

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.

Nice to have

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.

Benefits

Eligibility for Workday Bonus Plan or role-specific commission/bonus; Annual refresh stock grants awarded by Workday Inc.; Comprehensive benefits; Flexible work approach combining in-person and remote work