Sr. Data Scientist
ResultStack•Atlanta, GA
About The Position
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.
Requirements
- Dashboard & BI Tooling: Fluent in Tableau, Power BI, Looker, or equivalent. Able to model data and present it for both technical and executive audiences.
- Complex Data Fluency: Very comfortable wrangling large, noisy datasets --- EDI records, tracking logs, port data, weather overlays, and multi-model feeds.
- Predictive Modeling: Proven experience building ML models from messy, high-dimensional datasets (time series, sensor data, ETA prediction, etc.).
- AI & Machine Learning: Hands-On experience with LLM’s, NLP, computer vision, or operations research applied to real-world logistics problems.
- Collaboration & Communication: Can translate model outputs into business decisions. Possess strong documentation habits and cross-functional alignment skills.
- 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.
Responsibilities
- Route 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
11-50 employees
