Data Scientist 2

Job Summary

Overview About Business Unit: The Automotive Practice at Epsilon is a rapidly growing team, driving growth for major players in the automotive industry - from Original Equipment Manufacturers (OEMs) to dealerships across North America. Part of a 1,600-member multinational team, the practice provides the automotive world s largest service reminder platform, alongside agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of auto dealerships in North America and maintains relationships with over 280 million customers. Home to innovation and ground breaking technology, our Auto team leads the game in developing outstanding software and solutions for hyper-personalized digital marketing.

Role Overview: 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. The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms. The Data Scientist, II would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards automation, process improvement and efficiency. Demonstrates innovative thinking, passion, and cross team collaboration. Establish strong working relationship with partners.

Responsibilities

• Apply AI, machine learning, and deep learning techniques including regression, classification, clustering, tree-based algorithms, support vector machines, neural networks, recommender systems, and marketing attribution models to solve complex business problems.
• 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, and model drift to ensure reliable and sustained business value.
• Enhance existing analytical methodologies by identifying new data sources, engineering relevant features, experimenting with alternative algorithms, fine-tuning hyperparameters, and improving model performance and business outcomes.
• Define analytical and technical requirements for developing scalable data science capabilities, machine learning platforms, data pipelines, and reusable analytical solutions.
• Translate complex analytical findings and model outputs into actionable business recommendations, presenting insights effectively to partners
• Automate data science and machine learning workflows to improve operational efficiency, reproducibility, and scalability while collaborating with cross-functional teams to deliver production-ready solutions.

Qualifications

• Bachelor s or Master s Degree in Engineering or a quantitative field (Statistics, Economics, Mathematics, Data Science, or Business Analytics).
• 2-4 years of relevant experience as a Data Scientist or Machine Learning Engineer.
• 2+ years of hands-on programming skills using Python, PySpark, SQL, and ML frameworks.
• Good understanding of the end-to-end machine learning lifecycle, including data preparation, model development, validation, deployment, and monitoring.
• Good working knowledge of MLOps practices, Databricks, and Cloud Platforms AWS or Azure.
• Experience working with large datasets and developing scalable, efficient data science and machine learning solutions.
• Exposure to automotive industry and digital marketing campaigns are preferred.
• Ability to work independently, navigate ambiguity, and deliver effective solutions
• Analytical thinking and problem-solving abilities, with a data-driven approach to decision-making.
• Present analytical findings, model outcomes, and technical insights clearly to stakeholders.
• Excellent written and verbal communication skills to share actionable business insights.
• Highly motivated, proactive, and collaborative teammate with good interpersonal skills and the ability to work effectively across cross-functional teams.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.