Data Scientist - Analytics as a ServicePosition SummaryThe Senior Data Scientist is responsible for developing the advanced analytics, machine learning models and AI algorithms that power Qualitrol's 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 ResponsibilitiesAnalytics & Model DevelopmentDevelop 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 EngineeringExtract 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 LearningDevelop 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 DeploymentPartner 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 CreationPartner with Product Owner and Customer Success to understand customer use cases and translate them into differentiated analytics capabilities.
Use customer feedback and operational data to continuously improve algorithms and business outcomes.
Required Experience- Master's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics or related field
- 5+ years developing machine learning or industrial analytics solutions
- Strong Python programming experience
- Experience with cloud-based ML environments
- Experience deploying production AI models
- Strong statistical and analytical skills
Preferred ExperienceExperience with:
- Industrial AI
- Utilities
- Rotating machinery
- Power systems
- Time-series analytics
- Azure Machine Learning
- AWS SageMaker
- MLOps
- LLMs and Generative AI
Success MeasuresWithin 12 months:
- Multiple production analytics models deployed
- Measurable improvement in prediction accuracy
- Repeatable MLOps pipeline established
- Analytics capabilities contributing to customer adoption
- Continuous model improvement process operational
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About QualitrolQUALITROL manufactures monitoring and protection devices for high value electrical assets and OEM manufacturing companies. Established in 1945, QUALITROL produces thousands of different types of products on demand and customized to meet our individual customers' needs. We are the largest and most trusted global leader for partial discharge monitoring, asset protection equipment and information products across power generation, transmission, and distribution. At Qualitrol, we are redefining condition-based monitoring.
Pay RangeThe salary range for this position (in local currency) is 104300.00-193700.00
