
- 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.
🔥 44 minutes ago
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- 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.
• Understand features that drive vehicle prices and predict future values • Build and deploy advanced AI/ML and classical regression models • Conduct advanced model evaluation and optimization • Document machine learning processes • Lead and manage complex end-to-end data science projects • Collaborate with technology and engineering teams to improve processes and build new ones • Work with the product team to develop analytics powering new products • Apply advanced feature engineering and AI/ML model-building expertise • Use Python/R and SQL for advanced data manipulation • Apply in-depth knowledge of Snowflake and other machine learning frameworks • Create visual reports in Tableau for internal and external clients • Share ideas within the team to build predictive algorithms • Conduct ad-hoc data analysis and reporting • Deploy machine learning processes into production on AWS and develop monitoring tools
• At least 8 years of professional experience with a Bachelor’s degree or 6 years with a Graduate degree • 4+ years of working with large datasets • 4+ years of working with statistical programming software; Python/Spark preferred, R and SAS are a strong plus • 4+ years of working with database software such as MS SQL, Snowflake, or MySQL • Ability to communicate technical processes to a lay audience • Presentation experience • Curiosity and passion for solving problems with data • Experience with automotive market data preferred • Professional expertise deploying cloud-based ML Ops systems preferred • Experience using Claude in ML or Data Science projects preferred • Shareable examples of data visualizations preferred • Experience deploying machine learning models into production with an API preferred • PhD in Statistics, Data Science, Economics, or a related field preferred
• Diverse workforce and equal employment opportunity commitment • Recruitment and selection accommodations available • Access to the latest technologies and AWS infrastructure for data science work
Apply Now🕒 5 days ago
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