Lead Data Scientist

7 - 12 years

9 - 14 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a seasoned Lead Data Scientist to spearhead data-driven innovation in the industrial and buildings domain. This role involves leading a team to develop advanced analytics and machine learning solutions that optimize building operations, enhance energy efficiency, and enable predictive maintenance across industrial assets and smart infrastructure.
- Master s or Ph.D. in Data Science, Engineering, Statistics, or a related field.
- 7+ years of experience in data science, with at least 2 years in a leadership role. - Proven experience in industrial or smart building environments. - Strong communication and stakeholder management skills.
Strategic Leadership
- Define and execute the data science strategy for smart buildings and industrial systems.
- Collaborate with engineering, product, and operations teams to align analytics initiatives with business and sustainability goals. - Drive adoption of AI/ML solutions across building automation, HVAC systems, energy management, and asset monitoring.
Advanced Analytics & Modeling
- Develop predictive models for equipment failure, energy consumption forecasting, and occupant behavior analysis.
- Apply time-series analysis, anomaly detection, and optimization algorithms to real-time sensor and IoT data. - Leverage geospatial and environmental data to improve building performance and safety.
Project & Team Management
- Lead cross-functional data science projects from ideation to deployment.
- Mentor junior data scientists and foster a culture of experimentation and continuous improvement. - Ensure robust model validation, documentation, and compliance with industry standards.
Stakeholder Engagement
- Translate complex analytical insights into actionable recommendations for facility managers, engineers, and business leaders.
- Build intuitive dashboards and visualizations to monitor KPIs like energy usage, equipment health, and operational efficiency.
Machine Learning & AI
- Supervised and unsupervised learning
- Deep learning (CNNs, RNNs, transformers) - Reinforcement learning for control systems
Statistical Analysis & Modeling
- Regression, classification, clustering
- Time-series forecasting and anomaly detection - Bayesian inference and probabilistic modeling
Programming & Tools
- Python, R, SQL
- Libraries: scikit-learn, TensorFlow, PyTorch, XGBoost, Statsmodels - Data manipulation: Pandas, NumPy, Dask
Big Data & Cloud Platforms
- Spark, Hadoop, Kafka
- AWS, Azure, GCP (especially IoT and analytics services)
Data Visualization & BI
- Dash, Plotly, Matplotlib, Seaborn
- Power BI, Tableau, Grafana
MLOps & Deployment
- Model versioning, CI/CD pipelines
- Docker, Kubernetes, MLflow - Integration with BMS and industrial control systems
Domain-Specific Expertise
- Sensor fusion and IoT analytics
- Building automation protocols (BACnet, Modbus) - Energy modeling and sustainability metrics
Bengaluru, Karnataka, India 2025-09-02T05:39:29+00:00

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