About the role

Data Scientist focusing on NLP and machine learning pipelines for a mission-driven workforce development startup. Building AI solutions to address economic inequality and improve job matching.

Responsibilities

Ensuring our product makes high-quality recommendations to both job seekers (as a “GPS” for their careers) and employers (as a “talent radar”).
Using data and AI to model and make sense of the evolving landscape of skills, occupations, and careers in a changing labor market.
Prototyping and evaluating new AI-powered functions for job seekers, employers, and case workers.
Serving 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.
Mentoring and assisting with the quality, rigor, and acceleration of projects and tasks.

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.