Data Scientist

Impact 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. What You’ll Need to Be Successful 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.) Pay Range: $76,100- $130,000 Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.