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Data Sciences Lead (Hybrid, Sacramento CA)

Date:  Mar 17, 2023

Sacramento, CA, US, 95814-5511 Sacramento, CA, US, 95691 Sacramento, CA, US, 95814-4760

Req ID:  17416

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.


As Data Sciences Lead (Hybrid, Sacramento CA)  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

  • Lead large data science projects and deliver innovative technical solutions to solve problems and improve business 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
  • Work closely with engineers to deploy models to production both in batch and real-time while systematically tracking model performance
  • Build complex data sets from multiple data sources and write complex data flows using SQL, Spark, and scripting languages (e.g., Python, R)
  • Use data visualization tools (e.g., Tableau, PowerBI) to share ongoing insights
  • Present findings to both technical and non-technical audiences
  • Function as a subject matter expert on machine learning and predictive modeling
  • Assist engagements with key business stakeholders in a discussion on business opportunities
  • Be an evangelist driving wider adoption of analytics across the enterprise
  • Generate performance metrics such as accuracy, sensitivity, specificity, positive predictive value, ROC, AUC, calibration, SHAP (Shapley Additive explanations)

What we're looking for

  • 5+ years of industry experience in Data Science/Machine Learning as a mid-senior data scientist/technical lead developing ML models with business impact, along with 5+ years of hands-on, industry experience with data & languages such as e.g., SQL, Python, R, SAS
  • 5+ years of experience in data analysis using Relational Databases, SQL
  • 2+ years of experience in leading complex data science projects from dev to prod, end-to-end
  • Experience with 2 or more additional modeling techniques (i.e., Natural Language Processing, Deep Learning, Time Series Analysis, Optimization algorithms) with one or more deep learning libraries (e.g., Tensor Flow, PyTorch, Caffe) is a plus
  • Experience implementing solutions in a cloud environment (AWS or Azure); and working in Lean and Agile environments is a plus

What you should expect in this role

  • This position is to be performed hybrid On-Site - able to commute to Sacramento, CA
  • Travel Required 10%


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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