Job Description:

The Role

Fidelity Workplace Investing is seeking a Data Scientist to support initiatives around healthcare personalization and customization. You will lead data science projects at the intersection of machine learning and healthcare, working with business partners, data engineers, software developers, and other data scientists. You will be a subject matter expert, guiding artificial intelligence roadmaps and keeping up with the latest developments. The assignments may include exploratory analysis, feature engineering, experimentation, forecasting, numerical optimization, and real time scoring.

The Expertise and Skills You Bring

• PhD with 2+ years of working experiences or master's degree with 5+ years working experiences in a quantitative field (e.g. Statistics, Computer Sciences, Operational Research, Data Science or Applied Mathematics), with applied research experience
• Expert in training regression and classification models using typical ML algorithms, data extraction and feature engineering, creating model documentation, and explaining model output (such as features and performance) to non-technical audiences
• Extensive experience in developing and/or deploying scalable AI solutions using LLM, knowledge graph, reinforcement learning, optimization, and/or real-time models to solve business problems, experience on recommendation system and personalization is a plus
• Experience and familiarity with advanced public health, health benefit design, health and welfare administration is a plus, and consulting in healthcare domain experience is a plus
• Proficient in SQL and Python with an ability to design, train, and code up machine learning and statistical models, experience with Sagemaker, Snowflake is a plus
• Committed to continuous learning and able to pick up new knowledge quickly

Experience with the full stack of data science:

• Data extraction, cleaning, and preparation
• Feature extraction
• Algorithm development
• Model training and evaluation
• Putting applications into production

How Your Work Impacts the Organization

Data Scientists in Fidelity Workplace Investments use sophisticated machine learning and optimization to deliver personalized experiences to our customers. Your work will help participants learn how to plan for their healthcare needs and financial future and prepare for impending life changes.

The Team

Fidelity's growing healthcare business services employees of our clients with offerings such as a benefits administration platform for selecting and managing their benefits and a health savings account product for saving for medical expenses. Analytics permeates many aspects of the business to better the customer experience, from recommendations during open enrollment to streamlining backend operations. We deliver both internal digital tools and customer facing applications by leveraging a diverse set of healthcare and benefit related data sources. We employ a full spectrum of data science techniques - statistical analyses from epidemiology, predictive models from machine learning, and LLM are all part of the mix. We push the envelope of what's possible with advanced analytics to help people select, manage, and navigate their personalized healthcare benefits.

Certifications:

Category:

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that 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. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.