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Senior Data Scientist

Versant HealthCały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano20 lipca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
Zarobki170 000 - 180 000 USD

Versant Health is a leading administrator of managed vision care, dedicated to helping members enjoy the wonders of sight. We are seeking a Senior Data Scientist to join our team and architect advanced analytics and machine learning solutions that drive strategic decisions and operational excellence within the healthcare sector.

Key responsibilities

  • Architect, design, and deploy advanced statistical and machine learning solutions to support enterprise-level decision-making.
  • Own the end-to-end analytical solution lifecycle, from data discovery and feature engineering to model validation and performance monitoring.
  • Serve as a technical authority on model explainability, fairness, and regulatory defensibility in complex healthcare environments.
  • Design analytics solutions natively within the Microsoft cloud ecosystem, ensuring alignment with enterprise data architecture.
  • Partner with executive stakeholders and data engineering teams to translate complex business questions into production-ready analytics.

Requirements

  • Master's degree in data science, statistics, mathematics, computer science, or a related field.
  • 7–10+ years of experience delivering advanced analytics or machine learning solutions in data-rich environments.
  • Proven experience in healthcare analytics, specifically within payer, provider, or regulated healthcare domains.
  • Deep, hands-on experience with the Microsoft analytics ecosystem, including Azure Synapse, Azure Machine Learning, and Microsoft Fabric.
  • Advanced proficiency in Python and SQL, with a focus on T-SQL optimization and analytical patterns.

What we offer

  • Comprehensive health, dental, and vision insurance coverage for employees and qualified dependents.
  • Retirement savings plan with company match and tuition reimbursement opportunities.
  • Commitment to professional development and clear pathways for career advancement.
  • Supportive team environment with strong leadership focused on your long-term success.

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