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Data Scientist at Alex Staff Agency. 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. . . 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+. . Company Location: Cyprus.