Senior Data Scientist
Core
Build scalable data-processing workflows and production-ready data products for maritime and commodity-flow analytics, integrating generative AI for workflow automation.
Role type
Senior hands-on Data Scientist (Data Engineering & AI)
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 | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, Generative AI/LLM integration, AWS, Docker, Terraform, Data wrangling, Root-cause analysis
Preferred skills
R, Retrieval-augmented generation (RAG), Vector search, CI/CD pipelines, Model observability
Technologies
Python, PySpark, SQL, AWS, Docker, Terraform, LLM APIs, R
Responsibilities
Design and maintain scalable data-processing workflows using Python, PySpark, and SQL; Develop reusable data components and validation checks; Identify and implement generative AI workflows for data extraction and automation; Package workloads in Docker and contribute to AWS-based infrastructure; Translate ambiguous business questions into clear analytical approaches
Seniority
Senior, hands-on IC