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Fidelity Workplace Investing is seeking to support initiatives around personalization and customization

Requirements

• Statistical and data science programming with proficiency in Python and SQL
• Experience writing testable, modular code
• Expert in training regression and classification models using typical ML algorithms
• Extensive experience in developing and/or deploying scalable AI solutions using LLM, knowledge graph, reinforcement learning, optimization, and/or real-time models
• Data extraction and feature engineering
• Creating model documentation
• Explaining model output to non-technical audiences

Responsibilities

• exploratory analysis
• feature engineering
• experimentation
• forecasting
• numerical optimization
• real time model and LLM
• train machine learning models

Other

• PhD with 2+ years of working experiences or Master’s Degree with 5+ years working experiences in a quantitative field
• Committed to continuous learning and able to pick up new knowledge quickly
• Independently lead data science projects from end to end
• Conduct technical reviews and mentor junior data scientists
• Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week