Data Scientist (Energy Analytics)

TL;DR

Data Scientist (Energy Analytics): Developing and validating models for energy market analytics with an accent on productionizing models, researching AI-driven analytical methods, and communicating insights to cross-functional teams. Focus on influencing hirify.global’s next-generation Energy Analytics platform and contributing to scientific tooling and workflows.

Location: Preferred in Oslo, Norway, with a flexible hybrid work model. Other hirify.global office locations in Europe may be considered.

Company

hirify.global Energy Analytics is building a next-generation analytics platform for the energy and power markets.

What you will do

• Develop and validate models for energy market analytics.
• Collaborate with engineers to productionize models.
• Research and implement AI-driven analytical methods.
• Communicate insights to cross-functional teams.
• Contribute to scientific tooling and workflows.

Requirements

• MSc or PhD in data science, statistics, engineering, physics, or related field.
• Strong experience with statistical modeling or machine learning.
• Strong Python skills and data science libraries.
• Ability to work in cross-disciplinary teams.

Nice to have

• Experience with energy markets.
• Experience with cloud or large-scale data infrastructure.
• Experience with DataOps or ML pipelines.

Culture & Benefits

• Research-informed, applied data science environment.
• Influence real-world energy market decisions.
• Flexible hybrid work model.
• International development opportunities for professional growth.
• Life insurance, health insurance, and pension plan.
• Stimulating international environment promoting diversity and collaboration.