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Form of workOverview:
As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.
We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!
Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team! Responsibilities:
Proficiency building econometric and AI/ML models, while applying appropriate theory
Experience coding in Python or R; experience using AWS SageMaker and Jupyter Notebook is preferred
Proven ability to manipulate, clean and analyze large data sets (>250M records)
Demonstrates strong organizational, communication (both verbal and written), teamwork and problem-solving skills Passion for serving the customer
Demonstrates initiative and willingness to develop, while sharing that knowledge with others
Insurance experience preferred
Masters/PHD in Economics, Statistics, Actuarial Science, Mathematics, Finance, MIS or Business Analytics or a related field or 5+ years’ experience
We are not just offering a job but a meaningful career! Come join our passionate team!
As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.
We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!
Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!
- Engages in the development, interpretation, implementation, and support of Artificial Intelligence/Machine Learning and econometric models as listed in the Desired Skills section below
- Consults with clients on the use of mathematical statistics, assessing modeling needs, and defining project scope
- Works with clients to analyze needs for analytic information and converts them into action items, requests, or projects
- Provides input into the overall strategy and statistical methodologies used to solve quantitative business problems
- Researches appropriateness and availability of data resources required for each project
- Applies the most appropriate modeling and/or data science techniques to the problem at hand
- Provides critical interpretation of findings
- Coordinates and collaborates with other members of the project team
- Presents findings to appropriate audiences, including Executive
- Assists in solutions for model deployment
- Develops strategies and methodologies to validate model performance following implementation
- Applies programming skills to make use of computer intensive analysis techniques
- Uses knowledge of business areas and research skills to address a diverse range of real-world business issues and to solve business problems
- Serves as a skilled consultant/researcher on important business and economic issues
- Routinely engages in quantitative analysis on a variety of non-standard and unique business problems
- Serves as the Enterprise resource for economic analysis and forecasting
- Educates clients on the impact of the economy and external factors on their business area
Desired Skills:
Proficiency building econometric and AI/ML models, while applying appropriate theory
Experience coding in Python or R; experience using AWS SageMaker and Jupyter Notebook is preferred
Proven ability to manipulate, clean and analyze large data sets (>250M records)
Demonstrates strong organizational, communication (both verbal and written), teamwork and problem-solving skills Passion for serving the customer
Demonstrates initiative and willingness to develop, while sharing that knowledge with others
Insurance experience preferred
Masters/PHD in Economics, Statistics, Actuarial Science, Mathematics, Finance, MIS or Business Analytics or a related field or 5+ years’ experience
