Program Leader – Data Science (Pricing) (REF27236L)
Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!
Summary of Duties: Assist in selecting and ingesting new data sets (internal and external) to improve model accuracy and usability. Collect and maintain data sets including economic variables, competitive data, store and customer demographic information for use as controls in store metric models. Perform data cleaning and transformations to construct data set for use in models. Research best practices (both in industry and academia) for specific store metric models to make recommendations for the appropriate type of model and model structure based on findings. Build and test candidate explanatory and predictive models to evaluate model quality and accuracy. Create framework for iterating through a variety of model options to compare and document results. Mentor Analysts and advise on potential improvements to projects based on past modeling and business experience. Translate key ideas of complicated statistical concepts, modeling and data analysis strategies for share out to wide audiences.
Qualifications: Master’s degree or equivalent in Data Science, Business Analytics, Statistics, Mathematics, Engineering, Computer Science, or related field and two (2) years of experience in the job offered or related occupation. Employer will accept a Bachelor’s degree or equivalent in Data Science, Business Analytics, Statistics, Mathematics, Engineering, Computer Science, or related field and four (4) years of experience in the job offered or related occupation in lieu of a Master’s degree or equivalent and two (2) years of experience.
Applicants must have demonstrated experience with the following:
· R or Python;
· Data set construction, cleaning and maintenance strategies;
· Predictive modeling and statistical learning techniques such as: classification, predictive, regression, and time-series.
· Model evaluation strategies including fit evaluation, residual analysis, and out of sample testing.
· Statistical testing methodology including statistical tests, appropriate applications of tests, interpretation of results including p-values and confidence intervals; and
· Creating data visualization.
*Hybrid in-office / remote position*
All your information will be kept confidential according to EEO guidelines.