Senior Data Scientist Responsible for driving the Tech to H project, a large-scale platform for analysis and energy optimization of HVAC systems. The primary focus of this role is the development and operationalization of predictive models (MLOps), particularly time-series models, to generate efficiency and cost savings for clients. The professional will work directly on the Gold layer of our data pipeline, transforming processed data into business KPIs and actionable insights. No need to be an ETL expert, but minimum knowledge is required to identify potential improvements. Must have experience with exploratory data analysis. The main focus is modeling and machine learning. A full automation layer will be built upon the developed algorithm, managing entire HVAC systems in shopping malls, airports, etc. Strong foundation in data science and critical thinking is required. Focus on data analysis and data science with machine learning. Experience with Clubflow is a plus. Experience in HVAC or electricity is a valuable differentiator. Industrial automation will not be handled by the same person, but familiarity with it will be helpful. Cloud platform preference is neutral, but experience with cloud environments, deployment, pipelines, CI/CD, and DevOps practices is required. Project objective is cost reduction and indoor air quality monitoring in shopping mall HVAC systems. HVAC systems of large enterprises such as shopping malls.