Hybrid AI/GenAI Data Scientist

Munich Reinsurance America, Inc; Cincinnati (OH); Híbrido; USD 120 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401k with employer match

Paid time off

Hybrid work environment

On-site cafeteria

Wellness program

Tuition assistance

Resumo da oferta

American Modern Insurance Group, Inc., a Munich Re company, invites a Data Scientist to join our centralized Data Science team in a hybrid Cincinnati setting. You will develop and maintain predictive models, collaborate with senior data scientists, test and deploy models, and monitor outcomes to drive business value across domains.

You will work with ML Engineers to deploy and verify system performance, ensuring model efficacy and compliance, while guiding stakeholders with clear, non-technical

Qualificações

• Master's degree in analytics, statistics, CS or related double major.
• 2+ years data science/predictive analytics in (re)insurance or 4+ years predictive modeling in another industry.
• Experience building and deploying statistical and ML models.

Responsabilidades

• Build and deploy AI/ML models with general guidance.
• Serve as liaison between ML Engineers and Data Science teams for deployments and testing.
• Present results to stakeholders and management as needed.
• Identify actionable insights to improve customer satisfaction, policy growth, retention, and profitability.
• Prepare data and identify anomalies for modeling initiatives.
• Document modeling assumptions, results and alternatives for team alignment.
• Maintain modeling best practices and new techniques with partners.

Conhecimentos

Python

R

SAS

SQL

Formação académica

Master's degree in analytics/CS/statistics

Ferramentas

MLflow

Git

Azure DevOps

Descrição da oferta de emprego

American Modern Insurance Group, Inc., a Munich Re company, invites a Data Scientist to join our centralized Data Science team in a hybrid Cincinnati setting. You will develop and maintain predictive models, collaborate with senior data scientists, test and deploy models, and monitor outcomes to drive business value across domains.

You will work with ML Engineers to deploy and verify system performance, ensuring model efficacy and compliance, while guiding stakeholders with clear, non-technical