Senior Data Scientist - Healthcare Analytics

Description

Join a dynamic team that leverages cutting-edge technologies to enhance the health and well-being of our most vulnerable populations. Your work will have a direct impact on improving lives in our communities and across the country.

Why Work With Us?

Working With Us Comes With Numerous Rewards, Including

• Opportunities for career advancement in an environment that values flexibility, continuous learning, and professional development.
• Enhancement of technical skills and earning certifications.
• A generous, flexible vacation policy and access to educational assistance.
• Comprehensive leadership and technical development programs designed to help you build your skills and advance your career.
  
  

Your Role in Our Mission

As Part Of Our Team, You Will

• Collaborate closely with engineers to deploy models to production, both in batch and real-time, while systematically tracking their performance.
• Build complex data sets from multiple sources and develop sophisticated data flows using tools like Databricks, SQL, Spark, and scripting languages such as Python and R.
• Use data visualization tools like Tableau and PowerBI to share insights and present your findings to both technical and non-technical audiences.
• Serve as a subject matter expert in machine learning and predictive modeling.
• Engage with key business stakeholders to identify new opportunities for leveraging analytics.
• Act as an advocate for broader adoption of analytics across the organization.
• Generate and analyze performance metrics, including accuracy, sensitivity, specificity, and more.
• Lead large data science projects, delivering innovative technical solutions to solve complex problems and improve business outcomes.
• Design, develop, test, validate, and deploy machine learning and statistical models to harness our vast data resources and build new products.
  
  

What We're Looking For

• Experience with drug data file elements published by drug compendia/databases such as ICD, Medi-Span, and First Data Bank (FDB).
• Familiarity with Medicaid claims processing data, including pharmacy and non-pharmacy elements, financial and institutional data.
• Previous experience analyzing and monitoring healthcare plan data, focusing on medical claims, data mining, financial processing, eligibility processing, provider networks, and Managed Care Organization (MCO) contract compliance.
• Proficiency in creating meaningful data presentations and reports, including hotspotting, graphics, and other intuitive data visualizations using Tableau.
• Strong skills in SQL, data modeling, and business data analysis.
  
  

What To Expect In This Role

• This is a fully remote position based in the United States.
• Candidates must be available to work during Eastern Standard Time (EST) hours.
• Video cameras are required during all interviews and the initial week of orientation.
  
  

Important Details

• The deadline to submit applications for this role is September 16, 2024.
• The pay range for this position is \(86,800.00 - \)124,000.00 per year. The actual base pay offered may vary depending on factors such as geographic location, internal equity, and your knowledge, skills, and experience.
  
  

Our Commitment to You

We’re passionate about helping you grow your career in a supportive, flexible, and development-focused environment. All full-time employees are eligible for our generous vacation policy, 401(k) employer match, comprehensive health benefits, and educational assistance.

We believe that nothing is impossible when we bring together people who care deeply about making healthcare better for everyone.

Join Us

You’ll be part of an organization where collaboration, innovation, and inclusion are at the heart of what we do. We’re committed to creating a diverse and equitable workplace where all employees feel valued and included.

We celebrate diversity and are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, veteran status, disability, or any other legally protected characteristic.

Employment Type: Full-Time