Maintain and enhance the existing consumption forecasts per country pipeline
Develop new sector level gas consumption forecasts and align with the current gas generation for power forecast
Apply machine learning or statistical techniques to solve complex problems.
Use current MLOps platform to run R&D and expand our 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.
Contribute across the full lifecycle, from initial data exploration and research to production deployment.

At least 2 years of experience in a DS role, deploying models into production
Experience developing and deploying models using MLOps platforms (Dataiku, Databricks, Sagemaker, etc.)
Familiar with some 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.
Desirable
Experience with AWS (or another cloud provider), using Terraform
Experience with containerization (Docker) and orchestration (Kubernetes)

Kpler is committed to providing a fair, inclusive and diverse work-environment.
We believe that different perspectives lead to better ideas.
We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

Data Scientist

Key skills