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Senior Data Scientist

Great American Insurance Group
Cincinnati, USA
Full-time
Senior · 6+ years experience
Hybrid
Discovered 1 weeks ago
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Full Job Posting

Qualifications

  • Programming Language Skills: Expert in Python and its core machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM). Experience with R is a plus.
  • Database Skills: Advanced proficiency creating, retrieving, and optimizing data via SQL in Snowflake or a comparable SQL database.
  • Cloud and Pipeline Skills: Experience with a major cloud platform (AWS, Azure, or GCP) and data pipeline tools (e.g., Airflow, dbt).
  • Presentation Skills: Strong proficiency in data visualization and dashboard development using Tableau or Power BI, and the ability to present complex problems and solutions to senior leaders.
  • Preferred: Experience with geospatial data, telematics, or catastrophe modeling.
  • Education: Master’s degree in data science, statistics, computer science, actuarial science, or a related quantitative field, or equivalent work experience, is required.
  • Experience: Generally, a minimum of 6 years of experience exploring and manipulating large datasets, leveraging structured and unstructured data sources, and applying predictive modeling, including taking models from concept to production. Proven experience in techniques for optimizing models, machine learning, and analytical programming.
  • Great American Risk Solutions
  • Generally, a minimum of 6 years of experience exploring and manipulating large datasets, leveraging structured and unstructured data sources, and applying predictive modeling, including taking models from concept to production. Proven experience in techniques for optimizing models, machine learning, and analytical programming.

Job Requirements

  • Education: Master’s degree in data science, statistics, computer science, actuarial science, or a related quantitative field, or equivalent work experience, is required. PhD preferred.
  • Business Unit:

Benefits:

  • We offer competitive benefits packages for full-time and part-time employees. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
  • Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
  • Excludes seasonal employees and interns.

Preferred Qualifications

  • Programming Language Skills: Expert in Python and its core machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM). Experience with R is a plus.
  • Preferred: Experience with geospatial data, telematics, or catastrophe modeling.
  • PhD preferred.

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