Kpler

Data Scientist

Kpler

full-time

Posted on:

Location Type: Hybrid

Location: Athens • Greece

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Tech Stack

AWSCloudDockerKubernetesTerraform

About the role

  • 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.

Requirements

  • At least 2 years of experience in the 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)
Benefits
  • Kpler is committed to providing a fair, inclusive and diverse work-environment.
  • We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community.
  • Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningstatistical techniquesdata explorationmodel deploymentmodel integrationmodel performancemodel interpretabilityend-to-end ML solutionssoftware engineering best practicesAgile methodologies
Soft Skills
collaborationcommunicationproblem-solving