Data Scientist

Job not on LinkedIn

🕒 August 27

🇨🇦 Canada – Remote

💵 $85k - $90k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Logo of JDPA LIMITED

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

• Understand what features drive a vehicle's price and run processes to predict future values • Develop and deploy processes and pipelines into production • Deploy solutions on AWS servers • Develop tools for monitoring production systems • Develop and document multiple critical production processes • Maintain and iterate on production algorithms • Optimize ETLs and troubleshoot changing data and valuation requirements • Collaborate with technology and engineering teams to build new processes and improve existing ones • Create visual reports in Tableau for data review and validation used by internal and external clients • Perform extensive QA on automotive industry forecasts and resulting vehicle values • Help internal stakeholders understand predictive products and methodology • Create decks that make technical predictions relatable to the automotive industry • Perform ad-hoc data analysis and reporting

🎯 Requirements

• 2+ years of professional experience working with large datasets • 2+ years of professional experience with statistical programming software (Python/Pandas required, Spark preferred) • 2+ years of professional experience with database software (SQL, RedShift, Hive, MYSQL) • Experience working with AWS tools (S3, Sagemaker, Glue, Lambda…) • Ability to communicate technical processes to both peers and a lay audience • Master’s Degree in Statistics, Data Science, Economics, or a related field • Experience with automotive market data • Expertise deploying CI/CD with cloud-based systems, managing code in Git • Experience with Tableau for data visualizations • Experience with prompting and implementing generative AI output into workstreams • Some shareable examples of production data pipelines, product deployments, or data visualizations you have created • Experience deploying machine learning models into production with an API

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