American Credit Acceptance seeks to leverage advanced statistical and machine learning techniques to uncover insights, build solutions, and deliver recommendations to the business.
Requirements
- Experience validating and monitoring models using statistical techniques and KPIs relevant in a business environment
- Proficiency in R, Python, SQL, Tableau, and other quantitative analytical techniques
- Knowledge of predictive models, boosted models, decision trees/Random forests, Support Vector Machine (SVM), neural networks/deep learning, regression modeling, experimental design, and other techniques
- Experience with machine learning and artificial intelligence techniques
- Ability to extract and manipulate large amounts of structured and unstructured data
- Experience with data visualization tools
- Knowledge of statistical theory and mathematical modeling
Responsibilities
- Analyze large amounts of structured and unstructured data using scientific methods and algorithms to develop knowledge and insights and improve business performance
- Understand and apply mathematical theory by developing and leveraging predictive models, boosted models, decision trees/Random forests, Support Vector Machine (SVM), neural networks/deep learning, regression modeling, experimental design, and other techniques
- Leverage R, Python, SQL, Tableau, and other quantitative analytical techniques to extract and manipulate data, as well as to develop, analyze, validate and deploy predictive models
- Develop profitability analyses to assess the financial value of new models
- Develop monitoring of model inputs, sampling techniques, and performance and make changes to models when needed
- Create statistically derived tests to grow business knowledge and measure the impact of hypotheses
- Research and evaluate advanced statistical techniques using machine learning and artificial intelligence techniques to advance knowledge and pursue new approaches
Other
- Bachelor’s or higher degree (or its equivalent) in Mathematics, Statistics, or a related analytical field with exceptional academic performance (3.4 or higher GPA)
- Exceptional written and verbal communication, specifically, the ability to convey results to both technical, and non-technical, audiences effectively
- Ability to manage multiple projects/tasks and prioritize them based on impact
- The ability to quickly assess problems and find workable solutions within a business framework
- Full-time position with a work schedule of Monday-Friday with some schedule variations as needed including on-call coverage rotation
- Occasional night or weekend work for special projects
- Ability to lift at least 50 pounds and have the mobility to keep the storage areas orderly and floors cleaned of IT clutter
