Sr Data Scientist, AI Innovation

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 back. In 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

Finance Transformation Office (FTO) is redefining the finance function through innovative data science, machine learning, and agentic AI solutions. We build intelligent automation that showcases Workdays AI capabilities, streamlines complex financial processes, and turns data into actionable insights.
We are building an Agentic Finance Ecosystem: a connected set of intelligent agents that make financial data continuously decision-ready, automate end-to-end workflows, and unlock strategic capacity across Finance. Guided by a Customer Zero mindset, we apply our solutions internally first-proving measurable business value, establishing best practices, and creating benchmarks that help customers transform their own finance organizations.
Join a team where finance expertise, data science, and AI engineering come together to shape the future of intelligent finance.

About the Role

• Expertise in data science and machine learning, with experience applying predictive analytics and statistical techniques to complex business problems.

• Experience building production-oriented AI or ML solutions, including data preparation, model development, evaluation, deployment, and monitoring.

• Familiarity with generative AI, large language models, retrieval-augmented generation, AI agents, and workflow orchestration.

• Strong programming skills and experience working with large-scale, diverse data sources.

• Ability to communicate technical concepts and analytical insights clearly to business stakeholders and influence decisions through data.

• A practical, outcome-oriented mindset with a focus on delivering automation, insight, and measurable business value.

About You

Basic Qualifications:

• 8 - 10 years experience with design, develop, and program methods, processes, and systems to consolidate and analyze diverse structured and unstructured data sources.

• Build and deploy machine learning models for forecasting, classification, anomaly detection, optimization, risk identification, and fraud prevention.

• Develop agentic AI solutions that can reason over finance data, orchestrate workflows, automate repetitive processes, and surface proactive recommendations.

• Create robust data pipelines and automated processes to cleanse, integrate, validate, and evaluate large datasets from multiple disparate sources.

• Partner with Finance stakeholders, product teams, and service organizations to identify analytical questions, define success metrics, and run data-driven experiments.

• Apply statistical analysis, predictive modeling, natural language processing, generative AI, and optimization techniques to solve complex finance problems.

• Translate complex findings into clear, meaningful, and actionable insights for technical and non-technical stakeholders.

• Evaluate model performance, monitor production solutions, identify sources of bias or drift, and continuously improve solution quality, reliability, and business impact.

• Establish best practices for responsible AI, model governance, data quality, privacy, and secure use of financial information.

• Prototype and scale AI capabilities that demonstrate Workdays Customer Zero approach, creating proven solutions and reusable patterns for broader customer value.

• Collaborate with engineers to productionize models, integrate AI solutions into existing workflows, and ensure systems are scalable, maintainable, and performant.

• Stay current on advances in AI, ML, data science, and agentic systems, applying new techniques where they can deliver tangible value for Finance.

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.

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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