Data Scientist

Job Description

Job Description

Company Description

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!

Drive new store openings in our domestic and largest international markets by transforming large geospatial datasets into actionable insights. Build a strong knowledge of available internal and external data sources. Mine and synthesize across data sources to help address opportunities leveraging geospatial data and analytic techniques. Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the machine learning (ML) and artificial intelligence (AI) components of SIMMS Store Development Platform, creating test and measurement plans and executing those plans. Continually innovate and improve upon existing methodologies and products. Consult on data collection for new products to ensure all tracking is in place for future analysis. Manipulate and analyze large, complex geospatial datasets, ensuring data quality and accessibility for advanced analytics. Work in a fast-paced, challenging environment with opportunities for skill enhancement.

GENERAL RESPONSIBILITIES

• Develop a strong understanding of the business, the challenges, and demonstrate the ability to identify business opportunities that can be acted upon.
• Develop relationships and provide guidance to our internal Fran Dev team as well as Master Franchisees and internal business partners
• Present best practices and recent findings to leadership teams
• Create test plans and hypotheses that help address questions from non-statistical business partners
• Build a strong knowledge of the many available internal and external data sources.
• Mine and synthesize across data sources to help address opportunities leveraging geospatial data and analytic techniques.
• Conduct analyses to address ad hoc requests of ongoing project work
• Consult on new product deployments and incremental improvements.
• Consult on data collection for new products to ensure all tracking is in place for future analysis.
• Assist in developing the machine learning (ML) and artificial intelligence (AI) components of SIMMS Store Development Platform, creating test and measurement plans and executing those plans.

• Bachelor’s degree in Data Science, Mathematics, Statistics, Industrial Operations Engineering, Business Administration, Economics or other related field. 
• Minimum of 3 years professional related experience
• Ability to rapidly learn how international businesses operate
• Proficient in SQL & Python
• Experience with API creation (i.e. functional programming, automated testing, performance optimization techniques)
• Experience applying algorithms to large-scale data (e.g. supervised/unsupervised, optimization/solver)
• Experience with Geospatial data types is preferred
• Experience with solving business problems with statistics
• Experience developing Optimization/Solver Algorithms
• Ability to travel up to 10%

Benefits:
•    Paid Holidays and Vacation   
•    Medical, Dental & Vision benefits that start on the first day of employment
•    No-cost mental health support for employee and dependents
•    Childcare tuition discounts
•    No-cost fitness, nutrition, and wellness programs 
•    Fertility benefits
•    Adoption assistance
•    401k matching contributions   
•    15% off the purchase price of stock   
•    Company bonus   

All your information will be kept confidential according to EEO guidelines.