REQUIREMENTS: Bachelor’s degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering or related quantitative field of study and 5 years of progressive experience in Data Science and Statistics related to business. Employer will accept a Master’s degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering or related quantitative field of study and 1 year of experience in Data Science and Statistics related to business in lieu of a Bachelor’s degree or equivalent and 5 years of progressive experience.
Applicants must have demonstrated experience with:
1) Bayesian methods, time series data and different forecasting algorithms.
2) SQL, Python, and developing algorithms to address business problems or questions through statistical analysis on enterprise-scale datasets.
3) predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application.
4) statistical techniques and concepts, including regression, probability, distributions, and statistical testing with hands-on experience applying them to real-world problems (such as A/B testing, forecasting, and predictive modeling) using tools including Python, R, or SA.
