Data Scientist

Job Description 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. The Automotive Data Science team within Epsilon partner with 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. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building, and validating predictive models, explaining model results and insights. Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modeling to address business problems. Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytical capabilities, platforms, and pipelines. Present insights and recommendations to audiences of varying levels of technical sophistication Automate processes to ensure scalability of solutions by collaborating with cross-functional teams. Perform the extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic. Enhance data maturity and integration for Epsilon projects by interacting with operations to standardize the core value add functionality, enabling a multiplier effect experience working within a collaborative team. Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to delivering actionable insights. Qualifications Master’s or Bachelor’s Degree in quantitative field (Statistics, Economics, Mathematics, Data Science, Business Analytics). 2-4 years of experience as a Data Scientist deploying Data Science projects. 2+ years of coding skills in Python, PySpark, and SQL Deep understanding and hands-on experience with ML and DL Algorithms. Good understanding of LLM, Gen AI, Databricks and Cloud Systems (AWS or Azure). Experience of working with large data sets and developing scalable solutions. Knowledge of Automotive Business and Digital Marketing Campaigns are preferred. Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills. Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. Epsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.