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Centene Corporation

Principal Data Scientist - VBC

Posted 13 Days Ago
Remote
45 Locations
Expert/Leader
Remote
45 Locations
Expert/Leader
The Principal Data Scientist will lead the development and evaluation of machine learning algorithms, collaborate with teams to implement solutions, and drive strategic decisions affecting vendor partnerships.
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You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility.
 

Position Purpose:  Serve as an expert on quantitative analysis, data mining, and presentation of data. Serve as expert on statistical and mathematical models for distinguishing relevant from irrelevant content or events.

In this Principal Data Scientist role, you will:

  • Research, design, implement and evaluate machine learning algorithms and statistical models for signal processing and/or bioinformatics applications. Generate internal implementations to achieve results
  • Work closely with software engineering teams to drive scalable, production-ready implementations
  • Collaborate with teams across the company and serve as an internal expert on technical issues
  • Document technical work as part of the product development process. Support patent application of data science models
  • Contribute to our evolving cloud infrastructure and data engineering pipeline
  • Identify technical challenges, define requirements and prioritize efforts
  • Liaise to define requirements and architectures for next-generation machine learning / statistical analysis products
  • Contribute to scientific software engineering efforts, utilizing professional coding standards 
  • Engage with business partners to develop new models and concepts for continuous improvement

Education/Experience:  

  • Master’s degree in Quantitative/statistical analytics required; PhD preferred.
  • 10+ years of related experience required

Why this role is appealing?

  • High Impact:  Directly shapes multi-million dollar VBC contracts and influences key strategic decisions related to vendor partnerships.
  • Autonomy & Ownership:  Significant independence to lead complex workstreams, solve problems, and drive initiatives.
  • Intellectual Challenge:  Requires sophisticated analytical modeling, financial engineering, and strategic thinking in the evolving VBC landscape.
  • Visibility:  Opportunity to work closely with senior leaders internally and negotiate with external vendor executives.
  • Team & Leadership:  We foster a collaborative environment where analytical rigor is valued. My leadership style focuses on empowering team members, providing strategic direction while allowing for autonomy in execution, and supporting professional development.

*Applicants for this job have the flexibility to work remote from home anywhere in the Continental United States*

Pay Range: $132,000.00 - $244,100.00 per year

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules.  Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.  Total compensation may also include additional forms of incentives.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

Top Skills

Bioinformatics
Cloud Infrastructure
Data Engineering
Machine Learning
Signal Processing
Statistical Models

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