Geospatial ML Scientist – Routing & Logistics

Shipt, Inc.

California (MO)

Hybrid

USD 76,000 - 130,000

Full time

14 days+

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Job summary

Shipt, Inc. is seeking a Data Scientist focused on geospatial intelligence to advance location-based models for last-mile logistics. You’ll handle GPS traces, routing signals, and geospatial datasets, turning insights into operational systems.

You will collaborate with product managers, logistic operators, and software engineers to deploy scalable solutions. The role requires advanced degree in quantitative field and hands-on experience with Python ML libraries and distributed data platforms.

Qualifications

  • MS or PhD in Statistics, Applied Mathematics, CS, or other quantitative field.
  • Experience building production ML models deployed in real-world systems.
  • Experience with geospatial data (GPS traces, spatial indexing, routing).
  • Strong understanding of predictive modeling, experimentation & causal inference.
  • Strong Python skills with pandas, scikit-learn, PyTorch or TensorFlow.
  • Ability to work with large datasets and distributed systems (Spark, BigQuery, Snowflake).

Responsibilities

  • Develop advanced models and data systems leveraging location, routing, traffic, and spatial signals.
  • Work with large-scale GPS traces, mapping data and geospatial datasets.
  • Collaborate with product managers, logistic operators, and software engineers to deploy models.
  • Design experiments and translate geospatial insights into actionable decisions.

Skills

Geospatial data
Production ML models
Python
Distributed systems
Experimentation

Education

MS or PhD in Statistics or Quantitative Field

Tools

Pandas
scikit-learn
PyTorch
TensorFlow
Spark
BigQuery
Snowflake

Job description

Shipt, Inc. is seeking a Data Scientist focused on geospatial intelligence to advance location-based models for last-mile logistics. You’ll handle GPS traces, routing signals, and geospatial datasets, turning insights into operational systems.

You will collaborate with product managers, logistic operators, and software engineers to deploy scalable solutions. The role requires advanced degree in quantitative field and hands-on experience with Python ML libraries and distributed data platforms.

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