Principal Machine Learning Engineer (P5)

Title: Principal Machine Learning Engineer (P5)

Location: Remote USA Canada

Reports to: SeniorManager DataScience

Vacancy: ExisitingVacancy

TheRole:

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 a Machine Learning Engineer who will have the freedom to utilize the latest technologies to solve challenging problems with data create innovative machine learning and ETL processes from the ground up deploy them into production in AWS and/or Snowflake and develop cutting-edge tools for monitoring our ML models. 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!

TheImpactYouWillHaveinThisRole:

Every new data product we output will solve problems in the auto industry. Our Machine Learning Engineers will deploy and monitor our teams data pipelines and models that directly impact our core products for our clients.

WhatYoullBeDoinginThisRole:

• 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
• Fluent in other data science models data sources and data limitations across business units
• Collaborate with a variety of technical and non-technical teams including data science data engineering data visualization product and automotive consulting teams

QualificationsofthisRole:

• Passion for solving complex business problems with data
• Curiosity to dig into complex datasets and codebases to identify anomalies and issues
• Ability to lead the production and deployment of ML models and relevant input ETL pipelines end-to-end (especially large processes with many moving parts)
• Demonstrated proficiency in Python and SQL
• Demonstrated use of ML evaluation metrics including accuracy precision recall ROC AUC F1 scores MSE R-squared model building & evaluation
• Focuses on designing innovative solutions for challenging ML problems
• Requires effective collaboration with stakeholders for ML adoption and best practices
• 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
• Masters Degree in Statistics Data Science Economics Computer Science or a related field
• Enthusiasm for the automotive industry

Nice to Have:

• Experience with automotive market data
• Experience working with AWS tools (like Sagemaker Glue Batch Lamdba) and/or Snowflake tools
• Experience deploying machine learning models into production with an API
• PhD in Statistics Data Science Economics Computer Science or related field

TheHiringManagersays:

JD Power is the leader in automotive data in both the North American and European markets. We are looking for an ML engineer who is not only technically strong and detail-oriented but collaborative with both technical and non-technical groups. You will grow as a full-stack ML Engineer who will be putting data pipelines and models into production as part of a medium-sized and very collaborative data science team.

This position has a starting salary range of $130K - $150K CAD / $155K - $195K USD per year. This is the range we reasonably and in good faith expect to pay for the role at the time of posting. An employees pay within the range is determined by a number of factors including relevant skills education qualifications experience performance business or organizational needs and geographic location.

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We POWEROurCustomersSuccess

WeareInnovativeCollaborativeandGroundedand in Data

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JD Power iscommittedtoemployingadiverseworkforce.Qualifiedapplicantswillreceiveconsiderationwithoutregardtorace colorreligion sexnationaloriginage sexualorientationgenderidentitygenderexpressionveteranstatus ordisability.

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