Senior Data Scientist, FutureFit

• 5+ years of combined experience in industry and/or graduate-level research
• Proficiency training and evaluating ML and NLP models using both structured and unstructured data with reproducible results
• Expert-level programming and software engineering skills and a track record of delivering re-usable and well-documented code
• Practical knowledge of using LLMs to accelerate model development, for example through synthesizing training data or automating evaluation
• Proven ability to own a problem space from 0 to 1, translating vague business problems into production models
• Comfortable navigating ambiguity and working with competing priorities
• Strong communication skills to present models and actionable insights to stakeholders with varying levels of technical expertise

Desirable

• Recommender Systems: Ensuring our product makes high-quality recommendations to both job seekers (as a “GPS” for their careers) and employers (as a “talent radar”)
• Taxonomies: Using data and AI to model and make sense of the evolving landscape of skills, occupations, and careers in a changing labor market
• Agentic AI Solutions: Prototyping and evaluating new AI-powered functions for job seekers, employers, and case workers
• Data Science Strategy: You will serve as an advisor and expert on strategy and roadmap decisions, evaluate major developments in the field, and ensure we are using state-of-the-art techniques
• Mentorship/Leadership: You are a dedicated mentor and can serve as tech lead, assisting with the quality, rigor, and acceleration of projects and tasks