Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), end-to-end Data infrastructure and Analytics pipelines.
Experience with classification and regression, prediction and inferential tasks, training/validation criteria for machine learning algorithm performance.
Experience in identifying opportunities for business/product improvement and defining the initiatives.
Experience in developing new models, methods, analysis and approaches.