Domino’s is a technology-focused pizza company seeking a Data Scientist to transform large geospatial datasets into actionable insights for new store development. The role involves data collection and preprocessing, statistical and machine learning modeling, geospatial analysis, visualization, data pipeline maintenance, and collaboration with cross-functional teams.
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
* 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
* Primarily sedentary work involving extended periods of computer use. Occasional requirement to attend meetings or collaborate in team environments
* 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
Benefits
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.
