Data Scientist

COUNTRY Financial • Bloomington, IL

1d

About The Position

Develops and analyzes business cases for analytic opportunities. Provides technical and quantitative support to build, test, validate and maintain predictive models. Analyzes business data to provide insight and recommendations. Applies statistical methods to formulate solutions to complex business problems.

How does this role make an impact?
- Engages with business to understand business problems to be solved. Helps business frame problems in a way that can be addressed with analytics.
- Performs data mining and transforms raw data into actionable business information.
- Develops and implements data-driven business solutions using advanced statistical methods and machine learning techniques.
- Uses a flexible, analytical approach to design, develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Validates model performance using the appropriate standards/error metrics. Manages version control and documentation of data.
- Develops and produces supervised and unsupervised machine learning, forecasting and optimization.

Requirements

• Typically requires 7+ years of relevant experience or a combination of related experience, education and training.

Responsibilities

• Develops and analyzes business cases for analytic opportunities.
• Provides technical and quantitative support to build, test, validate and maintain predictive models.
• Analyzes business data to provide insight and recommendations.
• Applies statistical methods to formulate solutions to complex business problems.
• Engages with business to understand business problems to be solved.
• Helps business frame problems in a way that can be addressed with analytics.
• Performs data mining and transforms raw data into actionable business information.
• Develops and implements data-driven business solutions using advanced statistical methods and machine learning techniques.
• Uses a flexible, analytical approach to design, develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Validates model performance using the appropriate standards/error metrics.
• Manages version control and documentation of data.
• Develops and produces supervised and unsupervised machine learning, forecasting and optimization.

Benefits

• medical
• dental
• vision
• disability
• life
• 401(k) with company match

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed