Experienced Data Sciences

Date: Apr 8, 2024

Location:

Any city, OH, US, 99999

Req ID: 24149

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) Experienced Data Sciences at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s 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

Work closely with analysts and engineers to deploy solutions in batch and real-time while systematically tracking model performance.
Build complex data sets and flows from multiple data sources using SQL, Python, Spark and SSRS.
Use data visualization tools (e.g., Tableau, PowerBI) to share ongoing insights.
Present findings to both technical and non-technical audiences.
Assist engagements with key business stakeholders in a discussion on business opportunities.
Be an evangelist driving wider adoption of analytics across the enterprise.
Deliver data science projects delivering innovative technical solutions improving healthcare outcomes.
Design, develop, test, validate, and deploy Machine Learning (ML) /Statistical models to not only learn from our vast amounts of data but to build new products.

What we're looking for

Knowledge of medical, institutional and pharmacy/drug data elements. (ICD, Medi-span, First Data Bank-FDB).
Ability to liaise with Medicaid stakeholders including the Clients, Product Teams, Engineering and Data teams.
5+ years of experience in leading complex data science projects from requirements through design, development, testing and production, end-to-end.
Experience using Databricks solutions within the cloud (AWS or Azure) using an Agile framework.
2+ years of industry experience in Data Science/Machine Learning as a data scientist/technical lead developing ML models with a business impact, along with 5+ years of hands-on, industry experience with data & languages such as e.g., SQL, Python, R, SAS.

What you should expect in this role

This position is primarily remote, travel once per month to Columbus, OH may be required.
Work Hours: Eastern Time Zone
The deadline to submit applications for this posting is April 30, 2024.

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The pay range for this position is $95,100.00 - $135,800.00 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 committed to a diverse, equitable, and inclusive workplace. We are proud to be 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), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.