Data Scientist, SPX AI Lab, SPX Science
Job Description
This Data Scientist role centers on defining and building agentic AI capabilities for the Seller Assistant initiative, owning the problem space end-to-end from customer insight to a scalable shipped product.
Responsibilities
- Lead the product vision, strategy, and roadmap for a core Seller Assistant capability area.
- Design and deliver agentic experiences that enable reasoning, planning, memory, and context engineering to address complex seller problems at scale.
- Collaborate with researchers and engineers to translate frontier AI research into production-grade features that sellers trust and rely on.
- Develop rigorous evaluation frameworks, including automated and human-in-the-loop assessments, to measure agent quality, accuracy, and business impact.
- Analyze seller data to identify unmet needs and craft PR FAQs that define the direction for the team.
- Coordinate cross-functional alignment across science, engineering, UX, and business teams to deliver quickly and with high quality.
Requirements
- Minimum two years of data scientist experience.
- At least three years of experience with data querying languages (for example SQL), scripting languages (for example Python), or statistical/mathematical software (for example R, SAS, Matlab).
- At least three years of experience with machine learning or statistical modeling for data analysis, including understanding parameters that affect performance.
- Minimum one year of experience working with or evaluating AI systems.
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience in STEM fields.
Technologies
- SQL
- Python
- R
- SAS
- Matlab
Benefits
- Sign-on incentives
- Restricted stock units (RSUs)
- Health insurance including medical, dental, vision, prescription coverage and Basic Life & AD&D; optional supplemental life plans, EAP, mental health resources, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement
- 401(k) matching
- Paid time off
- Parental leave
Preferred Qualifications
- Knowledge of machine learning concepts and their application to reasoning and problem solving
- Experience in a ML or data scientist role at a large technology company
- Experience defining and creating benchmarks for assessing GenAI model performance
- Experience collaborating on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven decisions
- Strong written and verbal communication skills for conveying complex concepts
About the Team
The Seller Assistant team operates at the frontier of agentic AI and agentic commerce, not as a standalone research group but as a unit shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with startup urgency and the scale of a global company, translating the latest breakthroughs in science and engineering into capabilities sellers rely on every day.