Geospatial Data Scientist for DMAP & ML

Domino's Corporate; Ann Arbor (MI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, Dental & Vision benefits

401k matching

Paid holidays and vacation

Company bonus

Job summary

Domino's Corporate is seeking a data scientist specializing in geospatial analytics to transform large datasets into actionable insights for store development across domestic and international markets.

The role emphasizes building and validating predictive models, maintaining data pipelines, and collaborating with product and analytics teams to drive strategic decisions. Prior experience with ArcGIS, Python, and data visualization is preferred.

Qualifications

• 1–3 years of professional experience in data science or related analytical roles.
• Degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or related discipline.

Responsibilities

• Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis.
• Develops and implements basic statistical models and ML 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.

Skills

Geospatial data analysis

Data manipulation

Exploratory data analysis

Effective communication

Multitasking under supervision

Education

Bachelor's degree in quantitative field

Tools

ArcGIS (arcpy)

Pandas/GeoPandas

Geospatial SQL

Tableau/Power BI

matplotlib/seaborn

Jupyter Notebooks

Git

FastAPI

Geospatial data types

Job description

Domino's Corporate is seeking a data scientist specializing in geospatial analytics to transform large datasets into actionable insights for store development across domestic and international markets.

The role emphasizes building and validating predictive models, maintaining data pipelines, and collaborating with product and analytics teams to drive strategic decisions. Prior experience with ArcGIS, Python, and data visualization is preferred.