Boston, United States; Chicago, United States; New York, US; Wakefield, United States; Westminster, United States
Full job description
Epsilon seeks a Senior Staff Data Scientist to lead advanced analytics and AI solutions delivery across multiple client accounts. Responsibilities include managing end-to-end analytics programs, developing analytical frameworks (customer segmentation, propensity modeling, campaign measurement, attribution, churn prediction), leading cross-functional initiatives, providing quality assurance for statistical and machine learning models, translating findings into executive recommendations, and supporting pre-sales activities. The role involves leading and mentoring a team of data scientists, driving hiring and capability building, fostering a culture of rigor and innovation, and ensuring compliance with project governance and data policies. Requirements include a bachelor's or higher in a quantitative field, 10+ years of relevant experience, leadership skills, proficiency in Python, SQL, Databricks, and familiarity with Adobe Analytics, Google Analytics, Power BI, Tableau. Strong knowledge of digital marketing analytics, funnel analysis, attribution, and campaign measurement is required. Excellent communication, client management, project governance, and innovation skills are essential. Salary range: USD $112,800 - $238,700 annually. Locations include Chicago, IL; Westminster, CO; Wakefield, MA; Boston, MA; and New York, NY.
What you'll do
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Boston, United States; Chicago, United States; New York, US; Wakefield, United States; Westminster, United States
Full-time
Own end-to-end delivery of analytics programs across multiple client accounts from scoping to business impact articulation
Partner with analytic consulting teams, clients and account teams to translate business objectives into scalable analytical solutions and actionable insights
Develop and govern analytical frameworks for customer segmentation, propensity modeling, customer lifetime value, campaign measurement, attribution, churn prediction and marketing effectiveness
Lead complex cross-functional initiatives across analytics, data engineering, product, technology and client teams
Provide oversight and quality assurance for statistical analyses, machine learning models, experimental designs, measurement frameworks and insight narratives
Translate complex analytical findings into clear executive-level stories and recommendations
Provide technical leadership and analytics expertise supporting pre-sales, solutioning, proof of concepts and proposal development
Champion adoption of scalable analytics, automation, reusable assets and emerging AI/GenAI capabilities
Guide teams in hands-on analysis of large-scale data ensuring statistically valid outputs and actionable insights
Ensure strong project governance through communication, risk management, collaborator alignment, documentation and expectation management
Lead, manage, mentor and grow a high-performing team of data scientists
Define team goals, manage performance, provide coaching and create development plans
Provide thought leadership to strengthen analytical methods, delivery processes, reusable frameworks and best practices
Drive hiring, onboarding, capability building and succession planning
Foster culture of analytical rigor, accountability, innovation, collaboration, experimentation and continuous learning
Ensure team engagement, utilization and delivery excellence
Guide team compliance with policies for documentation, tracking, QA/QC, data governance, platform access and client communication
Collaborate with cross-functional internal teams, senior collaborators, global partners and client teams to drive measurable marketing and business outcomes
Requirements
Bachelor’s degree or higher in a quantitative field such as Engineering, Statistics, Economics, Mathematics, Computer Science, Marketing Analytics or related field; master’s degree preferred
Minimum 10+ years of experience in analytics, digital media analytics, marketing analytics or related consulting roles
Proven experience leading and developing teams including goal setting, performance management, coaching, feedback communication and capability building
Strong hands-on and leadership experience with Python, SQL and Databricks
Experience with Adobe Analytics, Google Analytics, Power BI and Tableau is an advantage
Deep understanding of funnel analysis, attribution, customer journey analytics, audience segmentation, cohort analysis, campaign measurement and experimentation
Strong understanding of digital marketing channels and concepts including SEO, SEM, paid media, conversion rate optimization, content performance and campaign performance measurement
Ability to guide teams through complex analytical problem solving, hypothesis development, data exploration, tracking validation, insight generation and business recommendation
Strong executive communication skills with ability to present complex analytical findings to senior partners
Excellent partner management, client relationship, consulting, prioritization and negotiation skills
Solid planning, resource management and project governance skills managing multiple programs, workstreams and teams concurrently
Strong attention to detail and commitment to analytical quality, tagging accuracy, data validation, reproducibility, documentation and QA/QC standards
Demonstrated ability to drive innovation, process improvement and adoption of new tools, technologies, AI capabilities and analytical methodologies
Highly collaborative, accountable and motivated leader with strong interpersonal skills
