Data Scientist

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

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