Fidelity Corp
Principal Data Scientist
Fidelity Workplace Investing is seeking a Principal 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: MS in data science, statistics, or similar quantitative field; PhD and training in epidemiology and public health is a plus
Proven track record, over several years, in conceptualizing, planning, leading, and developing data science models; project work in medical cost prediction is a plus
Expert in training regression and classification models using typical ML algorithms (LLM is a plus), creating model documentation, and explaining model output (such as features and performance) to non-technical audiences (Consulting experience is a plus)
Demonstrated experience working with healthcare data, including claims with its various codes such as ICD-10 and CPT, is preferred
Knowledgeable about machine learning, causal inference, and statistics (familiarity with advanced public health, health benefit design and real-world evidence discovery studies is a big 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 healthcare benefits. Company Overview: At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer.
Fidelity Workplace Investing is seeking a Principal 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: MS in data science, statistics, or similar quantitative field; PhD and training in epidemiology and public health is a plus
Proven track record, over several years, in conceptualizing, planning, leading, and developing data science models; project work in medical cost prediction is a plus
Expert in training regression and classification models using typical ML algorithms (LLM is a plus), creating model documentation, and explaining model output (such as features and performance) to non-technical audiences (Consulting experience is a plus)
Demonstrated experience working with healthcare data, including claims with its various codes such as ICD-10 and CPT, is preferred
Knowledgeable about machine learning, causal inference, and statistics (familiarity with advanced public health, health benefit design and real-world evidence discovery studies is a big 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 healthcare benefits. Company Overview: At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer.