Domino’s is hiring a Data Scientist to turn geospatial data into insights that support new store openings and its Store Development Mapping Platform. The role develops and evaluates statistical and machine learning solutions, analyzes data, and collaborates with teams to deliver actionable findings.
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 an in-house Store Development Mapping Platform (DMAP), 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
Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis
Develops and implements basic statistical models and machine learning algorithms to address defined business problems
Collaborates with cross-functional teams to understand data requirements and deliver actionable insights
Documents methodologies, processes, and results to ensure reproducibility and knowledge sharing
Monitors model performance and assists in maintaining data pipelines and analytical tools
Extracts and transforms data from multiple sources using standard querying and scripting techniques
Builds and validates predictive models using established algorithms and frameworks
Generates reports and visualizations to communicate findings to stakeholders
Assists in troubleshooting data quality issues and refining data collection processes
Participates in code reviews and applies feedback to improve analytical solutions
Qualification
Required
Proficient in data manipulation and exploratory data analysis with attention to data quality
Basic understanding of machine learning concepts and ability to apply standard algorithms
Effective communication skills for presenting technical information to non-technical audiences
Ability to work under general supervision while managing multiple routine tasks
Familiarity with version control and collaborative development practices
Experience with geospatial data analysis tools, including ArcGIS (arcpy), Pandas/GeoPandas, Geospatial SQL, etc
Python for data analysis and modeling
SQL for data extraction and manipulation
Experience with ArcGIS (arcpy) Required
Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries
Jupyter Notebooks or similar integrated development environments
Version control systems such as Git
Experience with Fast 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
1 to 3 years of professional experience in data science or related analytical roles
Completion of a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline
Preferred
Benefit
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
Domino’s is a purpose-inspired, performance-driven company powered by exceptional people who are committed to feeding the power of possible—one pizza at a time.
