Job Description
<h3>📋 Description</h3> • A data-driven company operating in the building energy efficiency sector, founded in 2023. 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 <h3>🎯 Requirements</h3> 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+ <h3>🏖️ Benefits</h3> 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