Principal Data Scientist (Healthcare) (Boston) Job at Soteria Reinsurance Ltd., Boston, MA

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  • Soteria Reinsurance Ltd.
  • Boston, MA

Job Description

Principal Data Scientist (Healthcare) page is loaded

Principal Data Scientist (Healthcare)

Apply locations Westlake, TX Boston, MA Merrimack, NH Smithfield, RI time type Full time posted on Posted 3 Days Ago job requisition id 2114235

Job Description:

The Role

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.

Certifications:

Category:

Data Analytics and Insights

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

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.

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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 associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.

Fidelity Investments is an equal opportunity employer.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation please contact the following:

For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 2

For roles based in Ireland: Contact AccommodationsIreland@fmr.com

For roles based in Germany: Contact A ccommodationsgermany@fmr.com

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Job Tags

Full time, Work experience placement, Work at office,

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