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
Summary: The Analytics & Insights (A&I) team has been 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, artificial intelligence, and primary research. The A&I team leverages their skills to shape tomorrow’s pizza experience by driving smarter decisions today through providing clear actionable insights to influence decision makers across the business.
This data scientist will focus on creating and updating pricing guidance to help Domino’s stores and franchisees maximize long-term profitability. Their primary responsibility will be developing models to predict consumer reactions to price changes across different products and promotions with a goal of making recommendations that maintain a healthy balance of customer order count growth and long-term profitability for our franchisees. Secondary responsibilities include keeping models and data sets up to date as well as developing presentations to share out insights to franchisees, business partners and other A&I teams.
Location: Ann Arbor, MI
Shift: Standard 40-hour work week. HYBRID Tue-TH in office, M&W Work from home
Compensation: 95K-105K Based on experience
RESPONSIBILITIES AND DUTIES
(25%) Creation and Maintenance of Data Sets
- Assist in selecting and ingesting new datasets (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
- Utilize SQL and internal data sets to evaluate historic pricing structure in individual stores
(50%) Creation and Maintenance of 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
(25%) Share Out Insights
- Document and organize model findings for share outs to leadership
- Closely collaborate with business partners to develop and rollout recommendations and tools to the field team
- Translate key ideas of complicated statistical concepts, modeling and data analysis strategies for share out to wide audiences
Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or related quantitative field
- 2+ years of relevant professional experience OR a Master’s in one of the fields listed above
- Proficient in SQL
- Proficient in R or Python
- Applied experience with statistical computer languages (R, Python, etc.)
- Ability to manipulate data and draw insights from large data sets
- Experience creating, cleaning and maintaining data sets
- Intermediate Knowledge of a variety of predictive modeling & statistical learning techniques (classification, predictive, regression, time-series, etc.) and their real-world application, including model evaluation strategies
- Knowledge of advanced statistical techniques and concepts (probability theory, properties of distributions, statistical tests, etc.) and experience with applications
- Experience creating data visualizations to display key insights
Additional Information
Benefits:
- Paid Holidays and Vacation
- Medical, Dental & Vision benefits that start on the first day of employment
- No-cost mental health support for employees 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
