Senior Data Scientist, Analytics-as-a-Service

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

Job summary

Ralliant Corporation in Fairport, NY is seeking a Senior Data Scientist to develop advanced analytics for Analytics as a Service. You will transform industrial data into scalable, production-ready insights and collaborate with product teams to move models from experimentation into reliable services.

You will own feature engineering, model deployment, monitoring, and continuous improvement, leveraging Python, cloud ML environments, and Generative AI to deliver measurable customer value and drive

Qualifications

• 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 and cloud-based ML environments

Responsibilities

• Analytics & Model Development: build advanced analytics for rotating machine condition monitoring, grid monitoring, and predictive maintenance.
• Data Mining & Feature Engineering: extract insights from sensor data, time-series data, event logs, operational history and maintenance records; build robust feature pipelines.
• AI & Machine Learning: develop ML models, statistical models, generative AI applications, LLMs integrations, predictive analytics and recommendation engines.
• Production Deployment: deploy models to production, monitor performance, improve inference accuracy and reduce costs.
• Customer Value Creation: translate customer use cases into differentiated analytics capabilities with customer feedback loops.

Skills

Python

Statistics

Analytical skills

Machine learning concepts

Education

Master's degree in Data Science / CS / Statistics / Applied Mathematics

Ph.D. in a related field

Tools

Azure Machine Learning

AWS SageMaker

MLOps

LLMs

Job description

Ralliant Corporation in Fairport, NY is seeking a Senior Data Scientist to develop advanced analytics for Analytics as a Service. You will transform industrial data into scalable, production-ready insights and collaborate with product teams to move models from experimentation into reliable services.

You will own feature engineering, model deployment, monitoring, and continuous improvement, leveraging Python, cloud ML environments, and Generative AI to deliver measurable customer value and drive