Data Scientist – Analytics as a Service

Qualitrol

UShybrid$104k-$194k/yrPosted Jul 22, 2026
Posting intelligenceActively listedReposted 5×, possible evergreen/ghost posting

Skills

timeseriespythonazureawsml

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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