Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
About the role
- Drive transformative AI/ML projects at American Family Insurance across claims, pricing, underwriting, and marketing. Design and implement scalable solutions enhancing customer experiences and operations.
Responsibilities
- Create business application and modeling framework for new datasets
- Discover insights and relationships from large/complex datasets through investigative research using advanced mathematical and statistical techniques
- Explore data using a variety of advanced statistical techniques to identify relationships, create insights, and answer business questions or guide future model development
- Build the hypothesis, identify research data attributes and determine best approach to address business issues
- Build complex predictive models to support our goals
- Build complex programs for running mathematical or statistical tests on data and for understanding complex relationships across attributes
- Research and maintain awareness of industry best practices and business strategies
- Use findings to provide industry and competitor insights as part of model development
Requirements
- Demonstrated experience providing customer-focused solutions or support
- Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development
- Understanding of software development best practices including source control, coding standards and testing frameworks
- Demonstrated experience formulating complex analytical problems using a quantitative, scientific approach
- Demonstrated experience working with complex datasets using big data technologies and script
- Demonstrated understanding managing data to scale using data summarization, query and analysis software and tools
- Demonstrated experience applying advanced and new data science methods, including Generative AI
- Demonstrated experience in cloud platforms, modern programming languages like Python and common AI/ML architectures
- Demonstrated experience working with large, multi-modal datasets which may include text, audio, images, video, and documents
Benefits
- Comprehensive medical, dental, and vision benefits
- 401(k) contribution
- Pension plan
- Annual incentive
- 9 paid holidays
- Paid time off program (23 days accrued annually)
- Student loan repayment program
- Paid family leave
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