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# Data Scientist

- **Company:** Shipt, Inc.
- **Location:** Birmingham, AL, United States
- **Salary:** $76,100.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Big Data, BigQuery, Data Systems, Distributed Systems, Geospatial Intelligence, Global Positioning Systems (GPS), Python (Programming Language), Machine Learning, Tensorflow, Feature Engineering, Pytorch, Snowflake, Apache Spark, Pandas, Scikit Learn, Information Technology
- **Published:** August 9, 2026
- **Apply:** https://www.dice.com/job-detail/65c2c9d8-571c-45b3-b06c-477d27ab8b3c

## About the Role

* MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields
 * Experience building production ML models deployed in real-world systems
 * Experience with geospatial data (ex. GPS traces, spatial indexing systems, or routing systems)
 * Strong understanding of predictive modeling, feature engineering, experimentation and causal inference
 * Strong Python skills with experience in libraries such as: pandas, scikit-learn, PyTorch or TensorFlow
 * Ability to work with large datasets and distributed systems (ex. Spark, BigQuery, Snowflake, etc.), Data Science, Geospatial Data, Geospatial Modeling, Python (Programming Language)Bachelor's Degree or equivalent experience | Required

## Description

As a Data Scientist specializing in geospatial intelligence, you will help power the next generation of final-mile logistics. This role will develop advanced models and data systems that leverage location, routing, traffic, and spatial signals to improve delivery success, reduce operational costs, and create a better experience for customers and drivers.

In this role you will work with large-scale GPS traces, mapping data and geospatial datasets. You will collaborate with product ,managers, logistic operators and software engineers to turn models into real-world systems. You will design experiments and translate complex geospatial insights into actionable operational decisions., To foster connection while offering continued flexibility, hybrid team members have the following in-office expectations:

Hybrid roles in Birmingham, AL typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays.

Hybrid roles in Minneapolis, MN typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday.

Hybrid roles in San Francisco, CA typically work in-office at least 1 day per week between Monday and Thursday.

Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.


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