Senior Data Scientist

Senior Data Scientist Epsilon's Data Science & AI 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 Compensation Range: USD $76,400.00 - USD $163,200.00/Annually. Digitas