Bachelor's degree in Statistics, Econometrics, Operations Research, Finance, Applied Math, or related technical discipline.
3 years of relevant experience with demonstrated results in a statistical analyst, business intelligence or data science role.
Strong fluency with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, Stata, MatLab), and Microsoft Office (e.g., Excel).
Experience with algorithm development
Proficiency in command line tools
Capable of data processing and transference outside of ETL tools or databases (custom scripts to pull and load from APIs or Files).
Experience articulating business questions into analytical questions, and using quantitative techniques to arrive at a solution using available data.
Excellent written and verbal communication skills on quantitative topics.
Detail-oriented and an aptitude to solve unstructured problems. Master's degree in Statistics, Econometrics, Operations Research, Finance, Applied Math, or related discipline.
Knowledge of a variety of quantitative modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks, graph theory
2 years of supply chain design and management experience.