Remote Data Scientist

Description:

• 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 support carbon footprint tracking (Scope 1, 2, 3), ensure compliance with sustainability standards (CSRD, ESG, B Corp, Green Key), and enable automated reporting.
• This position is remote, based in Cyprus.
• Your tasks include developing ML models to detect energy inefficiencies from smart meter data, forecasting energy consumption and optimizing HVAC system performance, building internal analytics workflows and scalable data pipelines, collaborating with domain experts to turn insights into real-world actions, and exploring and implementing advanced ML/DL methods to drive innovation.

Requirements:

• You must have 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) are required.
• Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) is necessary.
• Familiarity with large datasets, cloud environments (e.g., GCP), and model deployment is essential.
• Excellent communication and data visualization skills are required.
• A Master’s or Ph.D. in a quantitative field (e.g., Math, Statistics, Computer Science) is mandatory.
• Proficiency in English at a C1+ level is required.

Benefits:

• You will receive a competitive salary based on your competencies.
• This is a full-time remote position with occasional travel.
• The role offers official employment in Cyprus, fully compliant with local labor laws.
• The position includes paid vacation and sick leave, aligned with standard practices for full-time positions.
• You will be part of a stable, fast-growing company with a flat organizational structure.