JDPA LIMITED
- employees
🚘 Automotive
🛡️ Insurance
💼 Consulting
Automotive • Insurance • Consulting
JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.
Principal Machine Learning Engineer
Job not on LinkedIn
🕒 June 26
🌐 United States, Canada – Remote
🚗 Michigan – Remote
💵 $130k - $150k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
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JDPA LIMITED
- employees
🚘 Automotive
🛡️ Insurance
💼 Consulting
Automotive • Insurance • Consulting
JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.
📋 Description
• 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
• 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
• Health insurance • Retirement plans • Flexible work arrangements
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