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Career Opportunities: Principal, Data Sciences (36559)

Roles & Responsibilities

  • 6+ years of relevant experience in statistics and machine learning
  • Extensive knowledge of data science methodologies including supervised and unsupervised machine learning
  • Experience with writing SQL to query multi-dimensional and/or relational databases
  • Experience in developing machine learning and AI solutions using Python

Requirements:

  • Designs, develops, programs methods, processes and systems to consolidate and analyze unstructured, diverse big data sources using machine learning and predictive modeling tools.
  • Builds analytic models to identify and quantify solutions to business problems and communicates insights to stakeholders.
  • Provides leadership and work guidance to less experienced personnel in software programs and algorithms.
  • Champions global initiatives in data sciences and influences strategic decisions using deep industry expertise.

Job description

 

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

 

Summary

As a(n) Principal Data Sciences at Gainwell, you can contribute your skills as we harness the power of technologies to help improve the health and well-being of the members they serve - the communities most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.

Your role in our mission

  • · Designs, develops, programs methods, processes and systems to consolidate and analyze unstructured, diverse big data sources using machine learning and predictive modeling tools.
  • · Builds analytic models to identify and quantify solutions to business problems. Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers. Determines probable future outcomes and recommends and delivers new business process improvements.
  • · Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
  • · Determines the right modeling methodology to the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights
  • · Champions global initiatives in data sciences- like building new centers of excellence ( by domain or technology); acts as leading subject matter expert providing guidance and long term vision
  • · Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems

What we're looking for

  • 6+ years of relevant experience in statistics and machine learning
  • Extensive knowledge of data science methodologies including but not limited to supervised machine learning, unsupervised machine learning, and generative AI applications
  • Experience with writing SQL to query multi-dimensional and/or relational databases
  • Experience in developing machine learning and AI solutions using python
  • Experience with data cleansing, validation, and general quality control principals

What you should expect in this role

  • · Fully Remote Opportunity – Work from anywhere in the U.S.
  • · Minimal Travel Required – Occasional travel opportunities (0-10%).
  • · Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
  • · Video cameras must be used during all interviews, as well as during the initial week of orientation
  • The deadline to submit applications for this posting is June 25, 2026.

 

The pay range for this position is $132,700.00 - $189,500.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.

 

We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.

 

Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

 

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