Develop, analyze and model operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies for American Family Insurance Group
Requirements
- Proficiency in programming languages suitable for database access, scripting, and statistical analysis
- Familiarity with version control for software development
- Demonstrated experience using large amounts of structured, semi structured, and unstructured data
- Experience formulating, approaching, analyzing and solving problems on massive datasets
- Solid knowledge managing data to scale using data summarization, query and analysis software and tools
- Knowledge of Machine Learning and Statistical methods and experience applying them to business problems
- Proficiency in programming in Python and SQL. Knowledge of Go, Java or Scala
Responsibilities
- Leverages machine learning and predictive modeling projects across a variety of problem domains or business initiatives, building predictive models to support business partner objectives and business needs
- Manipulates and investigates large and complex datasets and formulates data requirements and model specifications needed for development
- Works closely with business partners and domain experts to identify critical questions
- Working with domain experts, develops problem definition, analytical approach, and research design for modeling projects
- Works with business partners, both internal and external, to identify new opportunities and challenges
- Participates in the selection of research tools and technologies, design of a common research process, and brainstorming new opportunities and methodologies
- Researches and maintains awareness of industry best practices and business strategies
Other
- Master's degree or higher in Statistics, Machine Learning, Computer Science, Applied Mathematics, Physics or other quantitative discipline
- Business experience in statistical modeling, data mining, machine learning, artificial intelligence, and applying database queries
- Ability to work as part of a team and to communicate effectively
- Up to 10% travel required
- Offer to selected candidate will be made contingent on the results of applicable background checks
