Kpler

1 month ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Data Scientist for Gas and Power teams responsible for enhancing cross-commodity forecasting. Build and deploy ML models, improve forecasts across geographies, and integrate model outputs into APIs and customer-facing applications while collaborating with product and engineering to deliver business value.

Location: Hungary

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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 and collaborate with engineers to integrate model outputs into APIs and customer-facing applications.

Key Requirements

•At least 2 years of experience in a DS role, deploying models into production.
•Experience 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.

Experience:2+ yearsCommoditiesEnergyData scienceMlops

Skills:CommunicationTeamworkProblem-solvingCollaborationAttention to detail

Languages:English

Tech Stack:DataikuDatabricksSagemakerGitPythonSQLAWSTerraformDockerKubernetes

Company Brief

Kpler

Provides real-time commodity, shipping and trade intelligence combining satellite, AIS, customs and market data to deliver analytics for energy, dry bulk, petrochemicals, metals and agricultural markets, enabling trading, risk management and market transparency.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Paris, France

Founded: 2014

Website LinkedIn

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Kpler

1 month ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Hungary

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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 and collaborate with engineers to integrate model outputs into APIs and customer-facing applications.

Key Requirements

•At least 2 years of experience in a DS role, deploying models into production.
•Experience 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.

Experience:2+ yearsCommoditiesEnergyData scienceMlops

Skills:CommunicationTeamworkProblem-solvingCollaborationAttention to detail

Languages:English

Tech Stack:DataikuDatabricksSagemakerGitPythonSQLAWSTerraformDockerKubernetes

Company Brief

Kpler

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Paris, France

Founded: 2014

Website LinkedIn