Data Scientist focusing on building and improving tools for credit risk management at FCC. Analyzing complex data to design and validate analytical models for risk assessment.
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.
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.
Benefits
- Competitive salary
- Opportunities for hybrid work
- Performance-based incentives
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