This is primarily an individual contributor role, with responsibility for owning end-to-end ownership of complex modeling / AI problem areas and technical ownership of AI capabilities critical to the product
Job Summary
This is primarily an individual contributor role, with responsibility for owning end-to-end ownership of complex modeling / AI problem areas and technical ownership of AI capabilities critical to the product.
You will work end-to-end: collaborating with stakeholders and product managers to define problems, building and validating prototypes, presenting findings to diverse audiences, and supporting engineering teams during implementation and production rollout.
Our hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all.
Matching Summary
This is primarily an individual contributor role, with responsibility for owning end-to-end ownership of complex modeling / AI problem areas and technical ownership of AI capabilities critical to the product.
Skills & Requirements
Must-have
end-to-end AI solution ownership
LLM-powered solutions design
evaluation frameworks for AI systems
collaboration with stakeholders and engineers
Python and SQL proficiency
Git for version control
Nice-to-have
system-level AI design perspective
staying current with emerging AI techniques
mentoring junior data scientists
Agile/SCRUM development environment
financial domain exposure
Key Requirements
6+ years of experience in data science
Strong mathematical, statistical, and machine learning foundations
Proven ability to select, apply, and critically evaluate ML models