Lead ML Engineer

JD Power is a leader in automotive data in both the North American and European markets. The Lead ML Engineer will work within the Data and Analytics division to create and deploy machine learning models that drive operational efficiency and revenue growth in the automotive industry.

Responsibilities:

• Experience daily immersion in high tech ML and AI solutions for the automotive industry
• Working with business units to articulate a pipeline of ML and AI projects to drive operational efficiency and revenue growth
• Create reusable frameworks to integrate multiple AI and ML models into production workflows
• Lead the creation of multiple AI & ML models simultaneously and put them into production
• Communications to customer success, product, and senior data science leadership while requiring minimal feedback for communication documents and presentations
• Coach team members on exploratory data analysis, feature engineering, and advanced model creation
• Leads PI (Program Increment) planning for activities to be conducted in the next quarter, with limited supervision, for major developmental modules or projects
• Fluent in data science models, data sources, and data limitations within business units
• Strong expectation to bring up, propose, and coordinate solution execution to resolve issues, with help from leadership if needed

Requirements:

• Enthusiasm for the automotive industry
• Curiosity and passion for solving problems with data
• Ability to lead the creation of multiple advanced AI or ML models simultaneously and put them into production
• Demonstrated proficiency of ML and AI programming languages including Python
• Demonstrated use of ML evaluation metrics including accuracy, precision, recall, ROC, AUC, F1 scores, MSE, R-squared, etc, in model building & evaluation
• Focuses on designing innovative solutions for challenging AI problems
• Requires effective collaboration with stakeholders for AI adoption and best practices
• 8+ years of professional experience working with large datasets
• 8+ years of professional experience with statistical programming software (Spark, Python preferred)
• 10+ years of professional experience and fluency 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, or a related technical field
• Experience with automotive market data
• Experience with high dimensional complex optimization problems
• Experience working with AWS tools (like Sagemaker, Glue, Batch, Lamdba) or GCP
• Experience working with Palantir or Databricks
• Experience deploying machine learning models into production with an API
• Experience with specialized UI app (viz. StreamLit, Gradio) for live interactions with ML models
• Experience with MLOps and CICD for trigger or rule-based invocation of the training/evaluation/re-deployment cycle
• Experience with API based enablement of model training/inference and integration of the model lifecycle in live user interactions
• Experience with model deployment and non-pandas/non-sql data structures
• PhD in Statistics, Data Science, Economics, or related field