Data Scientist – Analytics as a Service
Position Summary
The Senior Data Scientist is responsible for developing 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.
Primary Responsibilities
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, and 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.
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.
Partner 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 Experience
Experience with: Industrial AI, Utilities, Rotating machinery, Power systems, Time-series analytics, Azure Machine Learning, AWS SageMaker, MLOps, LLMs and Generative AI
Success Measures Within 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
Ralliant Corporation Overview
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
About Qualitrol
QUALITROL 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 Range
The salary range for this position (in local currency) is 104300.00-193700.00