Data Scientist

Responsibilities :

· Develop and deploy machine learning models to optimize HVAC setpoints, energy consumption, and operational performance.

· Design algorithms for predictive maintenance, fault detection, and dynamic thresholding specific to chillers, pumps, cooling towers, and air handling units.

· Work with domain experts and controls engineers to integrate data-driven solutions into existing BMS, SCADA, or edge computing platforms.

· Analyze historical and real-time sensor data (temperature, pressure, flow, energy) to identify patterns, anomalies, and optimization opportunities.

· Build scalable pipelines for data ingestion, cleaning, normalization, and feature engineering using time-series data from HVAC systems.

· Conduct what-if analyses and energy simulations to validate model outputs and savings estimates.

· Create visualizations, dashboards, and reports that clearly communicate insights and recommendations to technical and non-technical stakeholders.

· Collaborate with software engineers to productize algorithms within cloud or on-prem solutions.

Requirements :

· Bachelor’s or Master’s degree in Data Science, Computer Science, Mechanical Engineering, Energy Systems, or related field.

· 3+ years experience applying data science techniques for industrial systems, preferably with HVAC or energy optimization projects.

· Strong skills in Python / R / SQL, with libraries such as pandas, scikit-learn, TensorFlow/PyTorch, XGBoost, Neural Network and RL model development.

· Proven experience with time-series analysis, forecasting, and anomaly detection.

· Knowledge of HVAC equipment, control strategies, and energy efficiency principles.

· Hands-on experience with BMS/SCADA/OPC/Modbus/OPC UA data integration.

· Familiarity with cloud platforms (AWS, GCP, Azure) and/or edge computing frameworks.

· Excellent problem-solving skills, with ability to translate operational challenges into data science solutions.

Job Type: Full-time

Pay: ₹700,000.00 - ₹900,000.00 per year

Schedule:

• Day shift

Application Question(s):

• What is your expected CTC and notice period?

Experience:

• Total: 3 years (Required)
• Python: 2 years (Required)
• SQL: 1 year (Required)

Work Location: In person