Data Scientist – Analytics as a Service
Skills
About the role
Fairport, NY, United States
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 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 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 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
#LI-PW1
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
Compensation
This Data Scientist role pays $104k-$194k/yr. Within typical range for data scientist roles in United States.
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