Data Scientist 2

About the role

The Automotive Data Science team within Epsilon partners both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making.

What you'll do

• Apply AI, machine learning, and deep learning techniques including regression, classification, clustering, tree-based algorithms, support vector machines
• Design and implement end-to-end MLOps pipelines covering data ingestion, training, validation, deployment, and monitoring
• Support the deployment, monitoring, and maintenance of machine learning models in production, tracking model performance, data quality, scalability
• Enhance existing analytical methodologies by identifying new data sources, engineering relevant features, experimenting with alternative algorithms
• Define analytical and technical requirements for developing scalable data science capabilities, machine learning platforms, data pipelines

What you need

• 2–4 yrs of experience
• Machine learning
• SQL
• Python
• MLOps
• Deep learning
• ETL
• B.Tech or B.E.

Good to have

• AWS
• Spark
• Databricks
• Digital marketing
• Azure
• IPR