Principal Machine Learning Engineer

JDPA LIMITED

Principal Machine Learning Engineer developing predictive models for automotive values at JD Power. Collaborating with teams to ensure data integrity and effective model deployment.

Posted 6/26/2026full-timeRemote • Missouri • 🇺🇸 United StatesLead💰 CA$130,000 - CA$150,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftCloudETLMySQLPythonSparkSQL

About the role

Key responsibilities & impact

Experience daily immersion in automotive industry data
Collaborate with data science and engineering teams to build and maintain model training and forecasting/prediction ETL pipelines with appropriate data mappings, anomaly detection, feature engineering, and data imputation strategies
Deploy models and ETL pipelines in a reusable framework to generate predictions or forecasts for use in existing and net-new products
Lead the creation of model and data drift monitoring pipelines and reporting
Communications of technical topics to both lay and technical business stakeholders, product, and senior data science leadership while requiring minimal feedback for communication documents and presentations
Leads quarterly planning for major ML deployment projects with minimal supervision

Requirements

What you’ll need

8+ years of professional experience working with large datasets
8+ years of professional experience with statistical programming software (Spark, R, Python preferred)
10+ years of professional experience with database software (RedShift, Hive, SQL, MYSQL)
5+ years of professional experience deploying cloud-based automated analytic processes
5+ in machine learning model deployment with automate model monitoring
Master’s Degree in Statistics, Data Science, Economics, Computer Science, or a related field

Benefits

Comp & perks

Health insurance
Retirement plans
Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETL pipelinesanomaly detectionfeature engineeringdata imputationmodel deploymentmodel monitoringstatistical programmingmachine learninglarge datasetscloud-based analytics

Soft Skills

communicationcollaborationleadershipplanningpresentation