Energy Data Scientist

A data-driven company in the building energy efficiency sector, founded in 2023, is looking for an Energy Data Scientist. The company helps hotels and other energy-intensive businesses reduce energy consumption by 10-20% using data collection, smart analytics, and digital twins. Their platform integrates with building systems to detect inefficiencies — such as pool pumps running unnecessarily or mismatches between HVAC operation and occupancy — helping clients reduce costs by up to 30% and lower emissions. They also support carbon footprint tracking (Scope 1, 2, 3), ensure compliance with sustainability standards (CSRD, ESG, B Corp, Green Key), and enable automated reporting. You are offered a remote position based in Cyprus. Your tasks:

• Develop ML models to detect energy inefficiencies from smart meter data
• Forecast energy consumption and optimize HVAC system performance
• Build internal analytics workflows and scalable data pipelines
• Collaborate with domain experts to turn insights into real-world actions
• Explore and implement advanced ML/DL methods to drive innovation

Requirements

• 4+ years of experience in Data Science, ideally in energy, IoT, or smart buildings
• Strong skills in Python, SQL, and time-series modeling (e.g., ARIMA, LSTM, Prophet)
• Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch)
• Familiarity with large datasets, cloud environments (e.g., GCP), and model deployment
• Excellent communication and data visualization skills
• Master's or Ph.D. in a quantitative field (e.g., Math, Statistics, Computer Science)
• English C1+

Benefits

• Competitive salary from your competencies
• Full-time remote position with occasional travel
• Official employment in Cyprus, fully compliant with local labor laws
• The role includes paid vacation and sick leave, aligned with standard practices for full-time positions
• Stable, fast-growing company with a flat organizational structure