Data Scientist

SmartRecruiters, Inc.

Ann Arbor Charter Township (MI)

On-site

USD 90,000 - 120,000

Full time

46 hours ago

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Benefits offered by this job

Paid holidays

Medical, dental & vision benefits

401k matching

Stock purchase/bonus program

Wellness programs

Job summary

Domino’s Pizza is seeking a data scientist to transform large geospatial datasets into actionable store expansion insights. You’ll develop ML components for an in-house mapping platform and partner with teams to address opportunities using geospatial data and analytics.

The role emphasizes data quality, scalable pipelines, and collaboration across functions, with the chance to influence store development strategies globally.

Qualifications

Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering)
1–3 years of professional data science or related analytical experience
Experience with geospatial data analysis and ML components
Ability to communicate technical findings to non-technical audiences

Responsibilities

Extract, clean, and preprocess data from multiple sources for analysis.
Develop baseline statistical models and ML algorithms for business problems.
Collaborate with cross-functional teams to deliver actionable insights.
Document methodologies and results for reproducibility and knowledge sharing.
Monitor data pipelines and analytical tools to ensure quality and performance

Skills

Geospatial data analysis

Python

SQL

ML concepts

Data storytelling

Communication

Git

Education

Degree in CS/Stats/Math/Engineering

Tools

ArcGIS (arcpy)

Pandas/GeoPandas

Geospatial SQL

Tableau/Power BI

Jupyter Notebooks

Git

Matplotlib/Seaborn

Job description

Company Description

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

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. Work in a fast-paced, challenging environment with opportunities for skill enhancement.

Responsibilities

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.

Job Tasks

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.

Skills

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

Qualifications

Software Application

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

Physical Requirements