Data Scientist at Kpler enhancing Gas and Power teams to aggregate data for future forecasts. Collaborating with engineers and product teams for model deployment and performance enhancement.
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.
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.
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