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Data Scientist – Analytics as a Service

Qualitrol -
Fairport, NY

Apply Now

Job Details

$104,300 - $193,700 a year

Qualifications

AI models
Application deployment
Machine intelligence
Model deployment
System deployment
Python

Full Job Description

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.

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 [email protected].

Pay Range
The salary range for this position (in local currency) is 104300.00-193700.00

Apply Now

Refine Your Search

python jobs in newark, ny

Data Scientist – Analytics as a Service

Software Engineer (Starlink/Akoustis)

Sr. Backend Engineer - Charlotte AI (Hybrid, EST)

Embedded Engineer (Jr. Level)

Optical Design Engineer

Cloud Developer II

Carrier Voice Engineer

Postdoctoral Associate - Seed Biology and Technology Program

Optical Coating Engineer

Embedded Engineer (Mid-Sr Levels)

FBI Special Agent: Advanced Data & Intelligence Expertise

Sr. Solutions Architect (Remote)

Consultant, Advisory (Atlanta)

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Cloud Network Architect

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I want to receive the latest job alert for python in newark, ny

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Data Scientist – Analytics as a Service

Position Summary

Primary Responsibilities

Analytics & Model Development

Data Mining & Feature Engineering

AI & Machine Learning

Production Deployment

Customer Value Creation

Required Experience

Preferred Experience

Success Measures

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