OverviewEpsilon's Data Science & AI (DSAI) practice within the Analytics Services team is seeking a Senior Data Scientist to deliver advanced analytics and data science solutions that drive measurable business impact for our clients.
In this role, you will focus on solving complex business problems such as customer segmentation, campaign optimization, churn reduction through a combination of statistical modeling, machine learning, and experimentation. You will work closely with analytics consulting, cross-functional partners, and global delivery teams to translate business questions into analytical solutions, ensuring high-quality and efficient execution across a distributed team model.
As a senior team member, you will guide analytical approaches, ensure rigor and quality, and help evolve procedures while operating within a modern, platform-enabled data science ecosystem.
Responsibilities- Partner with business collaborators, analytics consulting, and client delivery teams to define analytical approaches and deliver solutions
- Design, develop, and deliver analytics solutions, including segmentation, targeting, and data-driven insights
- Apply statistical modeling and machine learning techniques to drive customer-level insights (e.g., churn, CLV, propensity, attribution)
- Design and analyze experiments (A/B testing, incrementality, causal inference) to measure marketing effectiveness and ROI
- Communicate complex analytical findings clearly to both technical and non-technical audiences
- Find opportunities to standardize analytics approaches through reusable methodologies and frameworks
- Collaborate closely with offshore data science teams, including task prioritization, work allocation, and quality assurance of analytical deliverables
- Provide technical guidance and mentorship to junior team members, ensuring consistency in methodology, coding standards, and analytical rigor
- Apply modern machine learning techniques and leverage emerging capabilities (e.g., Generative AI, advanced experimentation) where appropriate
Qualifications- 6-10+ years of experience in data science, analytics, or a related quantitative field
- Strong foundation in statistical analysis, machine learning, and data modeling
- Experience working with large-scale data environments (e.g., Databricks, Spark)
- Proven ability to translate business problems into analytical solutions and actionable insights
- Experience working with distributed and offshore teams in a global delivery model
- Strong experience with experimental design and measurement (A/B testing, causal inference, marketing attribution)
- Familiarity with data visualization and storytelling techniques to communicate insights effectively
- Experience working with cloud-based data environments (Azure, AWS) and data pipelines is preferred
- Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field (PhD a plus)
- Hands-on coding experience in Python is required
- Exposure to MLOps concepts and model lifecycle management is a plus
- Familiarity with Generative AI / LLM applications for analytics and insights is a plus
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
Additional InformationWhen 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 MatterAs 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.
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Compensation Range: USD $76,400.00 - USD $163,200.00/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 10/12/2026.
