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Professional PHM Data Sciences (Remote California)

Date:  Nov 23, 2022
Location: 

San Francisco, CA, US, 94111-5802

Req ID:  14610

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 Professional PHM Data Sciences (Remote California)  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

  • Design, develop, test, validate, and deploy Predictive Analytics/Machine Learning (ML) /Statistical models as part of new product development and/or projects. 
  • Work closely with senior data scientists and engineers to deploy models to production both in batch and real-time. 
  • Build data sets from multiple data sources and write data flows using Python and R, SQL/Spark. 
  • Use data visualization tools (e.g., Tableau, Kibana, Zeppelin) to share ongoing insights. 
  • Present findings to technical audiences. 
  • Stay up to date on ML, Big Data technologies sharing learnings with the teams.

What we're looking for

  • 1-2 years of industry experience in Data Science/Machine Learning developing, testing, validating, and/or deploying ML models with business impact. 
  • 1-2 year’s hands-on, industry experience with big data and languages such as e.g. SQL, Python, R
  • Experience with data visualization
  • 1-2 year's hands-on, industry experience with CatBoost, XgBoost, Spark, MLFlow, Regression, Classification.
  • Experience with structured and unstructured data

What you should expect in this role

  • Remote Opportunity. Candidates need to be located in the state of California
  • Travel Required 

The pay range for this position is $76,100-$108,700 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.

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