Data Science Manager

  • 30 Frank Lloyd Wright Dr, Ann Arbor, MI 48105, USA
  • Full-time
  • Location Name - Location Code: Domino's Pizza WRC -WHQ
  • Job Category Org: Global Analytics and Insights

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!

Job Description

The Analytics & Insights team is critical in driving Domino’s industry-leading growth by pairing strategic thought leadership with the latest analytic techniques in the fields of data science, machine learning, and artificial intelligence. The A&I team leverages their skills to drive outstanding consumer and employee experiences to fuel future growth.

 

This is a high visibility manager role that will lead and develop a Data Science team implementing solutions to support field marketing, and operations. You will regularly consult with internal business partners, which requires excellent project management and prioritization skills across team members and strategic business partners. You should have strong leadership, analytic, and communication skills, with a strong ability to think big picture across the business and synthesize numerous data projects.   The variety of internal partners requires you to develop a support model that can turn and pivot as priorities quickly change and evolve. You will also need to be a strong manager and place an emphasis on the training and development of your team. You will need to excel in a dynamic high pace work environment with constantly evolving business needs. 

RESPONSIBILITIES AND DUTIES

(60%) Lead team members in project direction and management, and professional development

  • Lead the Field Data Science team to identify and leverage data, tools, and insights that fuel Domino’s growth
  • Give guidance to the appropriate analytical techniques such as pre/post testing, clustering, regression, classification, neural networks, and others
  • Develop prescriptive insight tools to support marketing and operations enabling the team to make faster, data-driven decisions
  • Partner with and manage external data and analytic vendors to maximize ROI
  • Develop and own the management of competitive intelligence and reporting for the organization
  • Provide insights and analytic support to TUSA corporate stores and operations

(30%) Lead strategic initiatives with business partner leadership teams

  • Provide thought leadership surrounding analytics practices to strategic business partners, including those in Marketing, Operations, TUSA Corporate Stores, and Human Resources
  • Identify new areas of opportunity for expanding the use of analytics and insights throughout partnered organizations
  • Lead long-term strategic initiatives end-to-end, including influencing and leveraging cross functional team members

(10%) Provide ad hoc support to business questions

  • Consult with A&I leadership to answer questions posed by the Domino’s Leadership Team

Qualifications

  •  Bachelor’s degree in Data Science, Mathematics, Statistics, Predictive Modeling, Industrial Operations Engineering, or related field. Master’s degree preferred
  • 4+ years professional related experience, including experience managing a high-performing team
  • Proficient analytical skills and ability to leverage scripting languages (Python, R, etc.), to develop insights
  • Experience in the following types of research preferred: regression, analysis of variance, pre-post assessment, break-even analyses, predictive analytics

Additional Information

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

Privacy PolicyImprint