Senior Data Scientist

Overview

Senior Data Scientist role focused on applying AI/ML to industrial data for predictive maintenance, process optimization, and performance intelligence. Works on production-grade models and agentic workflows while collaborating with domain experts.

What you'll do

• Design, develop, and deploy advanced AI/ML models for predictive maintenance, process optimization, and industrial performance intelligence.
• Build agentic workflows that can reason, adapt, and take actions in dynamic environments.
• Handle complex, high-dimensional time-series sensor data from IoT, SCADA, and DCS systems.
• Integrate first-principles models with data-driven ML to ensure physical consistency.
• Lead feature engineering strategy for high-frequency telemetry, including transient state detection and steady-state identification.
• Deploy low-latency inference pipelines that fit edge-computing constraints.
• Drive model interpretability, scalability, and accuracy for robust real-world production performance.

What you'll need

• 5+ years of hands-on experience developing and deploying ML models in manufacturing, energy, oil & gas, or power sectors.
• Strong background with time-series and sensor data from industrial or IoT systems.
• Hands-on Python experience plus TensorFlow/PyTorch and Scikit-learn.
• SQL experience.
• Experience with cloud ML platforms: AWS, Azure, or GCP.
• Bachelor’s degree or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics with heavy emphasis on computational modeling.
• Ability to lead and mentor teams while also contributing hands-on.

Details

• Location: Bangalore (Karnataka), Hybrid.