PhD level coursework in Statistics, Econometrics, Applied Mathematics, Biostatistics,
Chemometrics, Computer Science subfield of Machine Learning, Industrial Engineering,
Operations Research, Psychometrics, Physics, or other discipline that is concerned with
developing and studying methods for collecting, analyzing, interpreting and presenting
empirical data.
- Expertise in coding and testing of analytical modules using Python, SQL, Spark, and AWS.
- Expertise in at least one statistical software or machine learning package, such as Scikit-learn
and StatsModels.
- Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science,
Engineering, or other Quantitative Field of Study.
- 7+ years of work experience in delivering analytics software solutions in a production
environment.
- 7+ years of work experience in quantitative marketing analysis, with an emphasis on
statistical, econometric and predictive analytic research that drives analytic product Innovation
and implementation.