Data Scientist

Summit Health•Minneapolis, WA

20d•$76,100 - $130,000•Hybrid

About The Position

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.

Requirements

MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields
2+ years of 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.)
Bachelor's Degree or equivalent experience

Nice To Haves

Data Science
Geospatial Data
Geospatial Modeling
Python (Programming Language)

Responsibilities

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.
Work with large-scale GPS traces, mapping data and geospatial datasets.
Collaborate with product managers, logistic operators and software engineers to turn models into real-world systems.
Design experiments and translate complex geospatial insights into actionable operational decisions.