Fidelity Workplace Investing is seeking to support initiatives around healthcare personalization and customization using machine learning and data science
Requirements
Expert in training regression and classification models using typical ML algorithms
Experience in developing and/or deploying scalable AI solutions using LLM, knowledge graph, reinforcement learning, optimization, and/or real-time models
Proficient in SQL and Python
Experience with Sagemaker, Snowflake is a plus
Experience with data extraction, feature engineering, creating model documentation, and explaining model output to non-technical audiences
Experience with full stack of data science: data extraction, cleaning, and preparation, feature extraction, algorithm development, model training and evaluation, putting applications into production
Responsibilities
Lead data science projects at the intersection of machine learning and healthcare
Exploratory analysis, feature engineering, experimentation, forecasting, numerical optimization, and real time scoring
Developing and/or deploying scalable AI solutions using LLM, knowledge graph, reinforcement learning, optimization, and/or real-time models to solve business problems
Design, train, and code up machine learning and statistical models
Data extraction, cleaning, and preparation
Feature extraction
Algorithm development
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
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office
Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others
