Senior Data Scientist
Core
Build scalable data-processing workflows and production-ready data products for maritime and commodity-flow analytics, integrating generative AI and intelligent automation.
Role type
Senior hands-on data scientist (data engineering & AI automation)
Builds
Production data pipelines, AI-assisted workflows, and analytical tools for maritime/commodity analytics
Domain
Maritime shipping, commodity flows, energy markets
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Generative AI/LLM, AWS, Docker, Terraform, CI/CD, Data Wrangling, Root-cause analysis
Preferred skills
R, Retrieval-augmented generation (RAG), Vector search, LLM orchestration, Agentic workflows, Model observability
Technologies
Python, PySpark, SQL, AWS, Docker, Terraform, R, LLM APIs
Responsibilities
Design and maintain scalable data-processing workflows; Develop reusable data components and validation checks; Identify and implement AI-assisted workflows for data extraction and automation; Package workloads in Docker and support AWS-based processing; Translate business questions into analytical approaches; Build evaluation datasets and automated tests for AI workflows
Seniority
Senior, hands-on IC
