Lead ML Engineer

Job Description

Title
:
Lead ML Engineer

Location
:
Remote US or Canada

Reports to
:
Director, Data Science

Vacancy
:
This is a new position

As part of the Data and Analytics division of JD Power, you will work to understand the features that drive the price of a vehicle and predict what future vehicle values will be. Our data science team is accountable for every data point we output and provides accurate, transparent, industry-leading analytics. We are looking for an AI Engineer who will have the freedom to utilize the latest technologies to solve challenging problems, create innovative machine learning processes from the ground up, deploy them into production on our AWS server and/or Palantir, and develop cutting-edge tools for monitoring our ML suite of algorithms.

We are a mature and tight-knit data science team looking to add another top-shelf team member who is ready to make a difference in the automotive industry. Join us!

We make data products and every new data product we output will solve problems in the auto industry. Our AI Engineers will build models that go into production and directly impact our core products for our clients.

• 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.

• 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 (Red Shift, 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. Stream Lit, 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

Grow as a full-stack AI Engineer who has put models into production as part of a medium-sized team. JD Power is the leader in automotive data in both the North American and European markets. You will have the opportunity to build impactful models with the best data available. You will pipeline data, build models, deploy them in the cloud, and build monitoring suites leveraging industry-standard tools.

J.D. Power is clear about what we do to ensure our success into the future. We unite industry leading data and insights with world-class technology to solve our clients' toughest challenges.

We POWER Our Customer's Success

We are Innovative, Collaborative and Grounded in Data

We Make Things Easy

We Get It Done

We Start with Trust & Prove it Everyday

J.D. Power is committed to employing a diverse…