Data Scientist III (REF38738G)

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!

NAME OF EMPLOYER:       Domino's Pizza, Inc.

POSITION TITLE:                 Data Scientist III

POSITION LOCATION:        30 Frank Lloyd Wright Dr., Ann Arbor, MI 48105

HOURS:                                  Full Time/40 hours

JOB DUTIES: Serve as key contributor to driving company’s industry-leading sales growth by pairing strategic thought leadership with the latest analytic techniques in the fields of Data Science, Machine Learning (ML), Artificial Intelligence (Al), and primary research. Work on Al team leveraging skills to drive outstanding consumer and employee experiences to fuel future growth. Continuously test new concepts, platforms, and technologies that drive outstanding consumer and employee experiences. Use analytical rigor and statistical methods to generate actionable insights and solutions for internal clients and mine through data to uncover opportunities. Work closely with Digital Innovation, Technology, and Operation Innovation teams, which enable understanding of key opportunities and challenges team is tasked with solving. Develop data collection strategies and analysis plans, specifying requirements. Extract, scrub, and organize data to build datasets for analysis. Identify and apply appropriate analytical methods to make sense of data. Translate results into business recommendations or interpretations. Present analysis to decision makers and while providing business recommendations based on analysis with effective presentations of findings through visual displays of quantitative information. Consult on new product deployments and incremental improvements. Interact cross-functionally throughout entire research process, from gathering requirements to sharing insights. Build and test simulation models in AnyLogic, retrieve and analyze experiment results, and prepare data sets for use in simulation. Provide support to ML developers including data preparation, experimentation, and general workflow.

*Hybrid position requiring weekly onsite work Monday through Thursday in Ann Arbor office*

Position offered by Domino's Pizza, Inc.

REQUIREMENTS: Bachelor’s degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering, Data Science or related field of study and 3 years of experience in Data Science. Employer will accept a Master’s degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering, Data Science or related field of study in lieu of a Bachelor’s degree or equivalent and 3 years of experience.

REQUIREMENTS: Bachelor’s degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering, Data Science or related field of study and 3 years of experience in Data Science. Employer will accept a Master’s degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering, Data Science or related field of study in lieu of a Bachelor’s degree or equivalent and 3 years of experience.

Applicants must have demonstrated experience with: 
 
1) solving business problems with data science to effect business outcomes.
2) SQL.
3) coding in R or Python.
4) predictive modeling and machine learning techniques (to include classification, predictive, and artificial neural networks) and their real-world applications.
5) statistical techniques and concepts (to include regression, probability, properties of distributions, and statistical tests) and experience creating recommendations from the results of these techniques.
6) training models using deep learning frameworks to include TensorFlow (or similar) and network types.
7) working with APIs.
8) working in a cross-functional environment.

If interested please apply online at: https://jobs.dominos.com/dominos-careers (REF38738G).

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