Overview See how Epsilon powers connected marketing by unlocking the full potential of data and identity. Epsilon’s Decision Sciences IQ team is looking for a Lead Research Scientist to join our team. The DSIQ team is responsible for integrating machine learning capabilities into our Epsilon PeopleCloud suite of marketing SaaS offerings, primarily focused on our Cleanroom, Customer Data Platform and Loyalty solutions. You will work on a Data Science team focused on creating automated, repeatable segmentation, predictive modeling, and GenAI solutions. These solutions improve Epsilon’s clients' marketing performance by applying our PeopleCloud product suite. You have strong machine learning background and are passionate about transforming data into productionized machine learning solutions. You welcome the challenge of data science and are proficient in Python, Spark MLLib, Tensorflow, Keras, ML algorithms, Deep Neural Networks, big data, and cloud computing. You must be dedicated, take initiative, demonstrate a strong desire to learn, and want to work in a collaborative, dynamic and innovative group. Responsibilities Manage projects end-to-end from early-stage research through development, in consultation with stakeholders Develop an understanding of DSIQ’s modeling platform and Epsilon’s proprietary datasets Use your data science and machine learning expertise to research and recommend the best approaches to solving our technology and business problems Design, implement, and validate productized analytic pipelines at scale using a variety of tools (Databricks, Spark, Python, Mllib, Keras, TensorFlow, Git, Jira, Confluence, etc.) Work with our Engineering teams to integrate your solutions into Epsilon’s PeopleCloud SaaS solutions Participate fully in our collaborative culture by sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of the team Qualifications Qualifications A Ph.D. in Computer Science, Statistics, Linguistics, Electrical Engineering, Mathematics, Economics, Physics, Operations Research, or a related scientific discipline Research experience and coursework in Machine Learning 1+ years of experience managing research and development projects 2+ years of relevant programming experience through academic research, internships, or industry experience Strong programming skills in Python and experience working with research or production code Experience with large data sets Strong understanding of modeling and statistical techniques Desire to work in a highly collaborative environment Strong communication & interpersonal skills with an ability to communicate ideas, and complex solutions effectively Additional, But Not Required Skills Experience with distributed and cloud computing platforms, such as Hadoop, Spark, AWS, Databricks, or related technologies Experience with SQL, Python Familiarity using LLMs and agentic frameworks. Experience with Natural Language Processing, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference Additional Information When you join Epsilon, we’ll create something EPIC together. We’re a global leader in data and identity, with deep expertise in digital media, clean rooms, customer data platforms, loyalty and marketing services. Positioned at the center of Publicis Groupe, Epsilon helps brands deliver personalized experiences at scale and build lasting customer relationships by unlocking the full potential of data and identity. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees. Check out a few of these resources to learn more about what makes Epsilon so EPIC: Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog Epsilon has five values that define our culture and guide us as we create value for our clients, our people and consumers. We seek candidates who 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 As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to: Time to recharge: Flexible time off (FTO), 14 paid holidays, paid sick time Family well-being: Parental/new child leave, childcare & elder care assistance, adoption assistance Extra perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Epsilon benefits are subject to eligibility requirements and other terms. Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants who need accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider qualified applicants with criminal histories for employment in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #LI-IP1 Compensation Range: USD $93,500.00 - USD $173,700.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/27/2026.