Data Scientist 2
Core
Develop predictive analytics and advanced modeling solutions for automotive OEMs and dealerships to drive customer acquisition, engagement, and retention across the customer journey.
Role type
Mid-level Machine Learning Engineer (Data Scientist)
Builds
Production ML models, MLOps pipelines, and scalable data platforms for automotive marketing.
Domain
Automotive industry + Digital Marketing
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Machine Learning, Deep Learning, MLOps, AWS or Azure, Data Engineering, Model Monitoring, Feature Engineering
Preferred skills
Automotive industry experience, Digital marketing campaign experience
Technologies
Python, PySpark, SQL, Databricks, AWS, Azure
Responsibilities
Design and implement end-to-end MLOps pipelines covering data ingestion, training, validation, deployment, and monitoring. Apply AI, machine learning, and deep learning techniques to solve complex business problems. Support the deployment, monitoring, and maintenance of machine learning models in production. Enhance analytical methodologies by identifying new data sources and fine-tuning hyperparameters. Translate analytical findings into actionable business recommendations.
Seniority
Mid-level, hands-on IC