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
- Manager of Data Science developing pricing algorithms for CarMax to price cars effectively. Focused on modeling and data-driven insights to improve purchasing decisions.
Responsibilities
- Develop new models and improve existing models
- Analyze, validate, and apply feature engineering to large and complex pricing-related data sets
- Find creative ways to incorporate new insights and data sources
- Leverage statistical / machine learning techniques and sound reasoning to develop, validate, and improve predictive models
- Design controlled experiments to assess the business value of new models
- Present insights and recommendations to senior leaders to drive change
- Help CarMax continue to develop its data expertise
- Research innovations and best practices related to data sources, modeling methodologies, and data science tools
- Influence the team in the development of our modeling capability strategic roadmap
- Effectively communicate how our models work to team members
Requirements
- 4+ years experience in strategy, analysis, data science, or related field
- Four year undergraduate degree with exceptional academic performance (Masters or Ph.D. in an analytical field is a plus)
- Strong modeling skills and a desire to continue to grow those skills
- Exceptional logical reasoning skills
- Solid foundational math, computer science, and machine learning skills
- Ability to influence the team’s results
- Experience managing your own projects and delivering timely results
- Record of building and maintaining strong working relationships
- Ability to explain standard or novel modeling methods
- Desire to develop into an effective technical leader and/or people manager
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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