Senior Data Scientist developing machine learning pipelines and advanced NLP solutions for an AI company focused on workforce development.
Responsibilities
Recommender Systems: Ensuring the 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 they 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.
Requirements
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.
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