Data Scientist- Decision Science

Domino's Pizza

Ann Arbor, MI

Full Time

Mid Level

6 days ago

Job Description

About the Role

The Decision Science team at Domino's Pizza plays a critical role in driving industry-leading growth by applying strategic thought leadership and advanced analytic techniques in data science, machine learning, artificial intelligence, and primary research. The team leverages their skills to enhance consumer and employee experiences, support national advertising campaigns, and inform business decisions through data-driven insights. As a Data Scientist on the National Campaign Decision Science team, you will collaborate with cross-functional teams including Marketing, Product Innovation, and IT to develop strategies, analyze data, and optimize national advertising efforts.

Key Responsibilities

Leverage internal datasets, market trends, consumer behavior, and competitive analysis to inform decisions that will put Domino's in the best position for success
Help build the business case for each product innovation or value campaign concept
Forecast order volume, product mix, or other relevant metrics to inform supply chain and store operations ahead of each national campaign activation
Provide campaign analysis to socialize learnings and actionable recommendations for future campaign planning
Implement and leverage automation tools to streamline the generation and sharing of insights
Present findings and business recommendations to decision-makers using clear and effective written or visual presentations of quantitative data
Deliver material impact to the organization’s performance by partnering with marketing teams, identifying analytics-based business opportunities, and developing analytic reports
Develop data collection strategies and analysis plans, specifying requirements to IT in collaboration with product owners
Extract, scrub, and organize data to build datasets for analysis
Identify and apply appropriate analytical methods to glean insights from data
Translate results into business recommendations or interpretations
Use visualization, reporting, and other tools to improve data access and interpretation for the team

Requirements

Bachelor's degree in Economics, Sociology, Psychology, Political Science or related quantitative social science field
2+ years of experience in a quantitative or technical work environment
Strong experience solving business problems with data science, emphasizing business outcomes
Proficient in SQL, R or Python
Experience working in cross-functional teams focused on Business/Financial Analysis, Promotional Analytics, Customer Analytics, Media Analytics, etc.
Fundamental knowledge of predictive modeling, segmentation analysis, data mining
Knowledge of advanced statistical techniques and concepts (regression, probability, properties of distributions, statistical tests, etc.) and experience with applications
Ability to self-start and self-direct work in a dynamic, cross-functional environment
Excellent written and verbal communication skills with the ability to engage, influence, and encourage partners and team members
Experience communicating analysis results with a diverse non-technical audience

Nice to Have

Experience with measurement methodologies for surveys and first-party data
Background in quantitative economics, sociology, psychology, or political science