GenAI & ML Data Scientist - Hybrid Role

Munich Reinsurance America, Inc

Columbus (OH)

Híbrido

USD 110.000 - 170.000

Tempo integral

Há 4 dias
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Benefícios oferecidos por esta vaga

401k with company match
Hybrid work environment
Career development programs
On-site cafeteria

Resumo da vaga

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Data Scientist to lead AI/ML projects across our business domains. You will build predictive models, validate them for accuracy and compliance, and work with ML Engineers to deploy solutions in a CI/CD environment.

You will collaborate with senior data scientists, translate complex analytics into actionable business insights, and mentor junior colleagues while contributing to our AI/GenAI roadmap.

Qualificações

  • 2+ years data science/predictive analytics experience in (re)insurance or 4+ years in another industry.
  • Experience building and deploying statistical and ML models to address business challenges.
  • Strong data wrangling, cleaning, and quality evaluation skills.

Responsabilidades

  • Build and deploy AI/ML models supporting multiple business domains.
  • Collaborate with ML Engineers to deploy and monitor models in production.
  • Present results to stakeholders and management.
  • Contribute to modeling best practices and new techniques.

Conhecimentos

Python/R/SAS
SQL
ML modeling
CI/CD
MLflow/Git/Azure DevOps
Data wrangling
Communication

Formação

Master's degree in analytics, statistics, CS or related field

Ferramentas

MLflow
Git
Azure DevOps

Descrição da vaga

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Data Scientist to lead AI/ML projects across our business domains. You will build predictive models, validate them for accuracy and compliance, and work with ML Engineers to deploy solutions in a CI/CD environment.

You will collaborate with senior data scientists, translate complex analytics into actionable business insights, and mentor junior colleagues while contributing to our AI/GenAI roadmap.

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