Lead Data Scientist

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.

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 Lead Data Scientist would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards driving efficiency through process improvement and automations. Demonstrates subject matter expertise, innovative thinking, passion, and cross team collaboration. Establish strong working relationship with stakeholders, coach and develop junior data scientists in the team.

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.
• Coach junior data scientists and support delivering projects.

Qualifications

• Master's or Bachelor's Degree in a quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics).
• 8-10 years of experience as a Data Scientist deploying Data Science projects.
• 7+ years of coding skills in Python, SAS, and SQL.
• Deep understanding and hands-on experience in Machine Learning and Deep Learning
• Good understanding of LLM, GenAI and Databricks is preferred.
• Experience of working with large data sets and developing scalable solutions.
• Knowledge of Automotive, Marketing Business, E-Commerce, Digital transformation is preferred.
• Strong analytical, problem-solving and project management skills.
• Ability to work independently and deal with ambiguity.
• 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.

Epsilon has a core set of 5 values that define our culture and guide us to create value for our clients, our people and consumers. We are seeking candidates that align with our company values, demonstrate them and make them meaningful in their day-to-day work:

• Act with integrity. We are transparent and have the courage to do the right thing.
• Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
• Innovate with purpose. We shape the market with big ideas that drive big outcomes.
• Respect all voices. We embrace differences and foster a culture of connection and belonging.
• Empower with accountability. We trust each other to own and deliver on common goals.

Because You Matter

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At Epsilon, we believe people make the place. And everything we do is designed with you in mind. That's why our work-world, aptly named 'YOUniverse' is focused on creating a nurturing environment that elevates your growth, wellbeing and work-life harmony. So, come be part of a people-centric workspace where care for you is at the core of all we do.

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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.