(USA) Senior, Data Scientist - Applied AI

...As a Senior Data Scientist on the Applied AI team, you will own the technical design and delivery of AI systems that transform how HR work gets done. You will sit close to business stakeholders, translate ambiguous problems into working prototypes, and carry those prototypes through to production systems used at scale. You will write the code, design the evaluations, and make the architecture decisions that determine whether an AI capability holds up in the real world.

suits those who want to build AI products end-to-end, and who are energized by direct contact with the business. About the team: The Applied AI team collaborates closely with HR business leaders to transform workflows by developing advanced AI capabilities. Embedded with stakeholders, the team identifies key challenges, prototypes innovative solutions, and delivers scalable production systems. Their expertise spans agentic systems, large language model applications, evaluation frameworks, and engineering to transition AI from concept to lasting products. Combining strong data science, engineering skills, and AI knowledge, the team builds business-owned capabilities that drive measurable impact across millions of associates worldwide, supporting strategic transformation and operational excellence.

... • Partner directly with HR business stakeholders to identify the highest-leverage workflows for AI transformation. • Design, build, and ship production AI systems including agentic workflows, LLM applications, and supporting infrastructure. • Build evaluation frameworks that measure model and system performance against real business outcomes. • Translate ambiguous business problems into prototypes quickly, then iterate to durable production solutions. • Write production-grade code and collaborate on engineering practices that take AI from prototype to scaled deployment. • Mentor team members on AI engineering, system design, and applied research methods. • Ensure responsible AI practices, data governance, and security standards across the project lifecycle.