Sr. Data Scientist (REF39029K)

Domino's•Ann Arbor, MI

50d•Hybrid

About The Position

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 85% 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!

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.
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.
Demonstrated experience with Bayesian methods, time series data and different forecasting algorithms.
Demonstrated experience with SQL, Python, and developing algorithms to address business problems or questions through statistical analysis on enterprise-scale datasets.
Demonstrated experience with predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application.
Demonstrated experience with 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.

Responsibilities

Develop and maintain accurate system level forecasts on weekly bases for US and international markets.
Conduct thorough research on macroeconomic trends and industry developments to inform forecasting models and strategic planning.
Analyze market segmentation and pricing strategies to identify opportunities to improve the forecasting accuracy.
Partner with cross-functional teams to implement strategies that optimize sales and profitability.
Contribute to team-wide code base and collaboratively test and merge work into production with business partners.
Generate and present complex analyses to executive audience in a compelling manner to influence team and capitalize on opportunities.
Synthesize insights across several data sources and clearly explain/present learnings and insights to an executive audience.