TL;DR

Data Scientist (Energy/Commodities): Improving cross-commodity offerings by implementing models and algorithms to aggregate data from Gas and Power teams for future forecasts. Focus on developing new sector-level gas consumption forecasts, applying machine learning or statistical techniques to complex problems, and integrating model outputs into APIs and customer-facing applications.

Location: Hybrid, Athens

Company

Kpler is dedicated to helping clients navigate complex markets by simplifying global trade information and providing valuable insights in commodities, energy, and maritime sectors.

What you will do

  • Maintain and enhance existing consumption forecasts.
  • Develop new sector-level gas consumption forecasts and align with current power generation forecasts.
  • Apply machine learning or statistical techniques to solve complex problems.
  • Use the MLOps platform for R&D and to expand forecasts to new geographies or domains.
  • Discuss the roadmap in collaboration with the product team.
  • Collaborate with engineers to integrate model outputs into APIs and customer-facing applications.
  • Improve model robustness, performance, and interpretability.

Requirements

  • At least 2 years of experience in a Data Scientist role, deploying models into production.
  • Experience developing and deploying models using MLOps platforms (Dataiku, Databricks, Sagemaker, etc.).
  • Familiarity with software engineering best practices.
  • Proven experience delivering end-to-end ML solutions that produce business value.
  • Comfortable working with Git, code reviews, and Agile methodologies.
  • Strong command of written and spoken English (C1 equivalent).

Nice to have

  • Experience with AWS (or another cloud provider) using Terraform.
  • Experience with containerization (Docker) and orchestration (Kubernetes).

Culture & Benefits

  • Dynamic company dedicated to nurturing connections and innovating solutions.
  • Foster relationships and develop creative solutions to address market challenges.
  • Accessible and supportive to colleagues and clients with a friendly approach.
  • Committed to providing a fair, inclusive, and diverse work environment.
  • Believe that different perspectives lead to better ideas and understanding of diverse global community needs.