Data Scientist

Remobi; España; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A technology solutions company is hiring a Data Scientist to optimize real-time energy grid systems using reinforcement learning. This fully remote role requires advanced Python skills and experience with AWS deployment. Ideal candidates have a background in AI governance and sustainability metrics. Join a meaningful project at the forefront of innovative technology.

Formación

• Proven experience with Reinforcement Learning applied to physical or control systems.
• Advanced Python programming and model deployment skills.
• Hands-on use of Grid2Op, L2RPN, ICTE, or similar simulation environments.

Responsabilidades

• Design, train, and deploy RL models to optimize real-time grid operations.
• Use open-source grid simulation platforms to develop and validate models.
• Ensure models comply with regulatory and sustainability standards.

Conocimientos

Reinforcement Learning

Python programming

Model deployment on AWS

Experience with Grid2Op

Educación

Degree in Computer Science or related field

Herramientas

AWS (SageMaker, Lambda, S3)

Grid2Op

L2RPN

ICTE

Descripción del empleo

Position Overview

Data Scientist – Grid Optimization & AI Compliance

About Remobi:

We are Remobi – we empower businesses to scale, innovate, and achieve their goals through high-quality technical solutions delivered by high-performing, high-quality, REMOTE nearshore technology teams. Join our Remobi community to gain access to meaningful, innovative freelance projects and play a key role in shaping how companies operate!

Location: Fully Remote

Role Type: Freelance/B2B/Contract

Duration: Initial 12 Months

Position Summary:

We’re hiring a Data Scientist to build and deploy reinforcement learning (RL) models that optimize real-time control of energy grid systems. This role focuses on developing scalable, responsible AI solutions that reduce emissions, support compliance, and improve operational efficiency. You’ll work with cutting-edge tools like Grid2Op, L2RPN, and ICTE, integrating your work into cloud-native environments with Python and AWS.

This position suits someone passionate about sustainability, operational AI, and solving complex, real-world challenges.

Responsibilities

• Design, train, and deploy RL models to optimize real-time grid operations.
• Use open-source grid simulation platforms (Grid2Op, L2RPN, ICTE) to develop and validate models.
• Ensure models comply with regulatory and sustainability standards for AI systems.
• Deploy and scale models using AWS services such as SageMaker, Lambda, and S3.
• Collaborate with engineers, compliance teams, and energy operations specialists.
• Translate technical insights into clear communications for varied stakeholders.

Qualifications

• Proven experience with Reinforcement Learning, ideally applied to physical or control systems.
• Advanced Python programming and model deployment skills.
• Hands-on use of tools like Grid2Op, L2RPN, ICTE, or similar simulation environments.
• Experience deploying models on AWS (SageMaker, Lambda, S3).
• Familiarity with smart grid technologies or energy systems is a plus.
• Understanding of AI governance, sustainability metrics, or regulatory frameworks.
• Degree in Computer Science, Engineering, Applied Mathematics, or related technical discipline.

Additional Information

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Engineering and Information Technology
• Industries: Technology, Information and Internet and Energy Technology