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Advisor Data Sciences

Role overview

Qualifications

  • 8+ years of relevant experience in the area of statistics/analytics/machine learning
  • Extensive knowledge of data science methodologies including classical regression, neural nets, sequence analysis, cluster analysis, and text mining
  • Experience with multi-dimensional and/or relational databases such as NoSQL, OLAP, and others
  • Experience in manipulating high-volume, high-dimensionality data from varied sources using big data integration and analysis tools such as R, Matlab, SAS

Responsibilities

  • 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 and findings from analysis and experiments
  • Provides leadership and work guidance to less experienced personnel in building software programs, algorithms, and automated processes
  • Champions global initiatives in data sciences and influences a client's strategic decisions by using deep industry expertise

Key facts

Hard skills

Other skills

  • Leadership
  • Communication

About the company

Gainwell Technologies LLC logo

Gainwell Technologies LLC

Digital Health & Health Tech

For 50 years, our nation’s federal Medicaid program has worked to improve the health, safety and well-being of America’s most vulnerable populations: low-income families, women and children, seniors, and those with disabilities. With positive health and cost outcomes that pierce inequities and impact economies, the success of these programs is inextricably tied to the prosperity of communities, individual states and the nation as a whole. We think that demands respect and, more importantly, is deserving of a lifetime commitment from innovators who can help those who operate within and around health and human services evolve — in any market at any stage. At Gainwell Technologies, that’s our sole focus. Built across more than five decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet agencies, health plans and MCOs where they are on their modernization journeys and propel them into the future of public health. Our commitment to innovation, deep experience and ability to leverage insights from customers across 50 states has allowed us to expand on next-generation, cloud-enabled technologies. Today, Gainwell offers one of the most comprehensive suites of scalable services and solutions on the market — all proven to deliver cost savings, better patient outcomes and an improved provider experience. Equally important to our expanding technologies and results: We bring ideas that bring policies to life.

Company details

Company typeLarge
IndustryDigital Health & Health Tech
Company size10001

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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) Advisor Data Sciences at Gainwell, you can contribute your skills as we harness the power of technologie to help improve the health and well-being of the mebers they serve - a communitys most vulnerable. Connect your passion with porpuse, teaming with people who thrive on finding innoviate solutions to some of healthcares 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 intitiatives 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

  • 8+ years of relevant experience in the area of statistics/analytics/machine learning
  • Extensive knowledge of data science methodologies including but not limited to classical regression, neural nets, sequence analysis, cluster analysis, and text mining
  • Experience with multi-dimensional and/or relational databases such as NoSQL, OLAP, and others
  • Experience in manipulating high-volume, high-dimensionality data form varied sources using big data integration and analysis tools such as R, Matlab, SAS
  • Experience with data cleansing, validation and general quality control principal

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 November 1, 2026.

The pay range for this position is $99,200.00 - $141,700.00 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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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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