Data Scientist

Data Scientist

Axross Pte Ltd — AI-driven HVAC control system for improved energy performance

### **About Axross** At **Axross**, we develop **AI-powered HVAC optimization platforms** that help industrial clients - including those in **pharmaceuticals, semiconductors, and precision manufacturing**, monitor, control, and reduce their energy usage. Our systems rely on high-quality, real-time data from IoT devices, sensors and BMS, which power smarter, greener decisions for our clients. ### **Roles and Responsibilities** * Develop and implement advanced machine learning models (e.g., reinforcement learning, supervised learning) for real-time optimization of HVAC systems. * Work with dynamic simulation models to predict and optimise the performance of industrial systems. * Analyse large datasets, including plant and environmental data such as temperature, humidity, and energy consumption metrics. * Build and refine predictive models for energy demand forecasting and optimise control strategies across different industrial applications. * Collaborate with cross-functional teams (AI engineers, product managers) to deploy models in production environments. * Design and evaluate experiments to test and validate model performance, ensuring alignment with energy efficiency goals. * Continuously enhance models to improve prediction accuracy and system control. * Present findings, analysis, and insights to both technical and non-technical stakeholders. ### **Requirements** * Have at least 2 years experience with ETL processes and model optimization techniques like feature selection, hyper-parameter tuning, and model validation. * Proficient in programming languages like Python, R, or Java, with a strong foundation in designing algorithms using various data structures. * Solid understanding of dynamic simulation models and / or digital twins for system optimization. * Experience with cloud platforms (e.g., Microsoft Azure, AWS) for deploying AI models. * Strong analytical thinking, problem-solving skills, and attention to detail. * Excellent communication skills with the ability to convey complex data insights to a diverse audience. * Deep understanding and hands-on experience with predictive modelling algorithms like logistic regression, neural networks, decision trees, and heuristic models. * Ability to work efficiently with different teams and independently learn new concepts or techniques. ### **Qualifications** * Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field. * Experience in energy optimization, manufacturing, or industrial IoT projects is an advantage. * Knowledge of reinforcement learning and control theory is highly desirable. ### **What We Offer?** * The opportunity to work on cutting-edge AI projects with real-world impact. * A collaborative and innovative work environment. * Competitive salary and benefits. * Career growth opportunities in a fast-growing industry focused on sustainability and innovation. ### **Apply Now!** If you’re excited about using data science and AI to solve industrial challenges and drive sustainable solutions, we’d love to hear from you!

Location: Kuala Lumpur, Federal Territory of Kuala Lumpur, MY

Type: Full-time

Salary: $1.5K - $3K / monthly

Experience: 3+ years

Visa: US citizenship/visa not required

Skills: Microsoft Azure, ML, Machine Learning, Deep Learning, Reinforcement learning (RL), Internet of Things (IoT), Data Modeling, Data Analytics