Data Scientist (AI)

TL;DR

Data Scientist (AI): Improving high-accuracy wind and solar forecasting models with an accent on time-series analysis, geospatial data, and production model deployment. Focus on building robust ML pipelines, diagnosing production behavior, and ensuring reproducibility in a mission-driven environment.

Location: Hybrid working with offices in Tallinn and Rome; preference is given to candidates based in Tallinn or Rome.

Company

hirify.global develops high-accuracy wind and solar forecasting using advanced machine learning and weather modeling.

What you will do

• Contribute to forecasting model development, including experimentation and feature engineering.
• Clean, analyze, and transform complex meteorological and time-series datasets.
• Support model deployments through scheduled inference, retraining workflows, and performance monitoring.
• Investigate data and model issues in production to drive effective resolutions.
• Collaborate with the team on modeling directions, documentation, and structured workflows.

Requirements

• 3-5 years of end-to-end ML experience (data to deployment).
• Solid Python skills and experience with PyTorch or comparable deep learning frameworks.
• Intuition for time-series modeling or spatiotemporal data.
• Experience deploying models into production environments.
• Ability to work in a hybrid setup, preferably based in Tallinn or Rome.

Nice to have

• Exposure to weather, NWP, or other scientific datasets.
• Experience with large-array formats like Zarr or Icechunk.
• Familiarity with model monitoring, drift detection, and ensemble forecasting.

Culture & Benefits

• High autonomy and clear ownership over the forecasting product.
• Opportunities to collaborate with experienced data scientists and MLOps engineers.
• Direct impact on clean energy adoption and the transition to net-zero.
• Growth-oriented, transparent environment with high visibility to leadership.