Senior Data Scientist

Great American Insurance Group

. Shape data science strategy and business potential for the organization .

Posted 10/27/2026full-timeCincinnati • Ohio • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in predictive modeling, data analysis, and machine learning, with a strong focus on deploying solutions that drive business value. Proficient in data visualization and storytelling, ensuring insights are effectively communicated to stakeholders.

Highest-signal resume keywords

Predictive ModelingMachine LearningPython ProgrammingSQL ProficiencyData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData AnalysisMachine LearningStatistical TechniquesData ManipulationModel OptimizationGeospatial Data AnalysisTelematicsCatastrophe ModelingData Pipeline Development

Soft Skills

Technical MentorshipCommunicationData StorytellingCollaborationTraining

Tools & Technologies

PythonScikit-learnXGBoostLightGBMSQLSnowflakeAWSAzureGCPTableau

Industry Keywords

Data ScienceInsurance Regulatory RequirementsAgile PlanningData GovernanceBusiness Metrics

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformPythonScikit-LearnSnowflakeSQLTableau

About the role

Key responsibilities & impact

Shape data science strategy and business potential for the organization
Lead small to moderately complex projects from design through deployment
Serve as a technical mentor to junior team members
Design, develop, validate, and deploy predictive models for underwriting, pricing, claims, and customer retention
Analyze large, complex, high-dimensional structured and unstructured datasets to identify trends, patterns, risk factors, and opportunities
Create models, simulations, and optimization routines and select appropriate techniques for business problems
Monitor and maintain production model performance, including drift detection, retraining, and follow-up studies
Design and implement data pipelines, automated reporting tools, and dashboards tracking key business metrics
Partner with data engineers to ensure data quality, accessibility, and scalability
Define data acquisition strategies for organizational data and analytics sharing
Identify and deliver AI, machine learning, and automation solutions that replace manual work for revenue-generating teams
Partner with actuarial, underwriting, claims, and product teams to translate business problems into technical requirements
Advise business leaders and communicate insights through data storytelling and visualization
Provide input into product roadmaps and participate in agile planning and documentation
Ensure models meet insurance regulatory requirements and internal governance standards, including documentation, explainability, bias and fairness testing, and validation
Evaluate new data sources, modeling techniques, and technologies and bring proven approaches into production
Drive accountability for value recognition and business results
Mentor junior data scientists and analysts through code and model reviews and team standards
Lead training sessions and advocate for analytics across GARS
Perform other duties as assigned

Requirements

What you’ll need

Master’s degree in data science, statistics, computer science, actuarial science, or a related quantitative field, or equivalent work experience, is required
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
Expert in Python and its core machine learning libraries, including scikit-learn, XGBoost, and LightGBM
Advanced proficiency creating, retrieving, and optimizing data via SQL in Snowflake or a comparable SQL database
Experience with a major cloud platform: AWS, Azure, or GCP
Experience with data pipeline tools such as Airflow or dbt
Strong proficiency in data visualization and dashboard development using Tableau or Power BI
Ability to present complex problems and solutions to senior leaders
Experience with geospatial data, telematics, or catastrophe modeling preferred
Applicants must be authorized to work in the United States without the need for current or future sponsorship
Experience with R is a plus
PhD preferred

Benefits

Comp & perks

Medical, dental, and vision coverage
Wellness plans
Parental leave
Adoption assistance
Tuition reimbursement
Paid Time Off
Paid holidays
401(k) plan with company match
Employee stock purchase plan
Commuter benefits