Data Scientist Analytics as a Service Position Summary

The Senior Data Scientist is responsible for developing the advanced analytics, machine learning models and AI algorithms that power Qualitrols Analytics as a Service portfolio. Working closely with the Product Owner, Product Engineers and Data Engineer, this individual transforms industrial data into scalable analytics services that deliver measurable customer value.

Unlike a traditional research-oriented data science role, this position is expected to rapidly move algorithms from experimentation into production, continuously improving model performance through customer feedback, operational data and AI-assisted development practices. Success requires balancing scientific rigor with startup execution speed.

Primary Responsibilities Analytics Model Development

Develop advanced analytics for:
- Rotating machine condition monitoring
- Grid monitoring
- Predictive maintenance
- Fault detection
- Anomaly detection
- Asset health assessment
- Failure prediction
- Fleet benchmarking

Design algorithms that are accurate,



explainable and production-ready.

Data Mining Feature Engineering

Extract insights from:
- Sensor data
- Time-series data
- Event logs
- Operational history
- Maintenance records
- Customer operating conditions

Develop robust feature engineering pipelines to improve model accuracy and scalability.

AI Machine Learning

Develop and optimize:
- Machine learning models
- Statistical models
- Generative AI applications
- Large Language Model integrations
- Predictive analytics
- Recommendation engines

Leverage AI-assisted tools to accelerate experimentation, model development and validation.

Production Deployment

Partner with Product Engineers to:
- Deploy models into production
- Monitor model performance
- Improve inference accuracy
- Reduce computational costs
- Continuously retrain models

Ensure analytics are scalable, reliable and maintainable.

Customer Value Creation

Partner with Product

📌 Data Scientist Analytics as a Service (Bengaluru)
🏢 Venture Measurement
📍 Bengaluru