Data Scientist – Analytics as a Service

Qualitrol; Village of Fairport (NY); On-site; USD 104,300 - 193,700; Full time

Job summary

Qualitrol seeks a Senior Data Scientist to evolve analytics for our Analytics as a Service portfolio in Fairport, NY. You transform industrial data into scalable analytics deployed to production, balancing rigorous science with startup-like execution.

You will partner with Product Owner, Product Engineers and Data Engineer to build models for rotating machinery health, grid monitoring, predictive maintenance and anomaly detection, delivering measurable customer value and scalable AI solutions.

Qualifications

• Master's or Ph.D. in Data Science, CS, Statistics, or related field.
• 5+ years building ML/industrial analytics solutions.
• Strong Python programming and production deployment experience.
• Experience with cloud-based ML environments and MLOps.

Responsibilities

• Develop advanced analytics for industrial data and AI algorithms for production use.
• Deploy models into production and monitor performance.
• Collaborate with product teams to translate customer needs into analytics.
• Design scalable feature pipelines and robust evaluations.

Skills

Python

Statistical analysis

Time-series analytics

MLOps

Cloud ML environments

Data mining

Education

Master's degree in Data Science, CS, Statistics or Applied Math

PhD in Data Science or related field

Tools

Azure Machine Learning

AWS SageMaker

LLMs / Generative AI

Job description

Fairport, NY, United StatesData 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 monitoringGrid monitoringPredictive maintenanceFault detectionAnomaly detectionAsset health assessmentFailure predictionFleet benchmarkingDesign algorithms that are accurate, explainable and production-ready.Data Mining & Feature EngineeringExtract insights from:Sensor dataTime-series dataEvent logsOperational historyMaintenance recordsCustomer operating conditionsDevelop robust feature engineering pipelines to improve model accuracy and scalability.AI & Machine LearningDevelop and optimize:Machine learning modelsStatistical modelsGenerative AI applicationsLarge Language Model integrationsPredictive analyticsRecommendation enginesLeverage AI-assisted tools to accelerate experimentation, model development and validation.Production DeploymentPartner with Product Engineers to:Deploy models into productionMonitor model performanceImprove inference accuracyReduce computational costsContinuously retrain modelsEnsure 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 ExperienceMaster's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics or related field5+ years developing machine learning or industrial analytics solutionsStrong Python programming experienceExperience with cloud-based ML environmentsExperience deploying production AI modelsStrong statistical and analytical skillsPreferred ExperienceExperience with:Industrial AIUtilitiesRotating machineryPower systemsTime-series analyticsAzure Machine LearningAWS SageMakerMLOpsLLMs and Generative AISuccess MeasuresWithin 12 months:Multiple production analytics models deployedMeasurable improvement in prediction accuracyRepeatable MLOps pipeline establishedAnalytics capabilities contributing to customer adoptionContinuous model improvement process operational#LI-PW1Ralliant Corporation OverviewRalliant, 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 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.We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at [e-mail] RangeThe salary range for this position (in local currency) is 104300.00-193700.00