Sr. Data Scientist
Listed on 2026-06-05
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IT/Tech
Data Analyst, Data Scientist
Must be a US Citizen or Hold a Green Card
ABOUTTHE ROLE
We are looking to hire a Data Scientist who can transform the complexity of global shipping and logistics into clear, actionable intelligence. You'll work across operations, engineering, and leadership to build predictive systems that optimize routes, forecast demand, and surface insights that keep cargo moving. This is a high-impact role at the intersection of data science, operational expertise, and emerging AI.
COREREQUIREMENTS
This candidate will have Dashboard & BI Tooling. Being Fluent in Tableau, Power BI, Looker, or equivalent. They will be able to model data and present it for both technical and executive audiences.
They will have Complex Data Fluency. Being very comfortable wrangling large, noisy datasets --- EDI records, tracking logs, port data, weather overlays, and multi-model feeds.
They will do Predictive Modeling. Having proven experience building ML models from messy, high-dimensional datasets (time series, sensor data, ETA prediction, etc.).
They will be well versed in AI & Machine Learning. Having Hands-On experience with LLM’s, NLP, computer vision, or operations research applied to real-world logistics problems.
This candidate must also be excellent in Collaboration & Communication. They can translate model outputs into business decisions. They will also possess strong documentation habits and cross-functional alignment skills.
WHAT YOU'LL WORK ONRoute optimization and transit time prediction models
· Anomaly detection in shipment and carrier data
· Real-time operational dashboards for fleet and port performance
· AI-assisted demand forecasting for freight capacity planning
· Cross-team data infrastructure and model deployment support.
6+ Years in shipping, freight, logistics, or supply chain, Understand how cargo and data both move.
NICE TO HAVES- Python, R, or SQL --- scripting and querying at production scale.
- Software Development Principles: version control (Git), CI/CD, API integration.
- Familiarity with containerization (Docker) or cloud platform (AWS, GCP, Azure).
- Experience building data pipelines or ETL workflows.
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