Data Scientist
21 hours ago
**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.
- 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.
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
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