Senior Staff Data Scientist
$112.8k - $238.7kPublicis Groupe ANZ
Overview
Epsilon’s Data Science & AI practice within Analytics Services team is seeking a Senior Staff Data Scientist to lead the delivery of advanced analytics and AI solutions that drive measurable business impact for our clients.
The Analytic Services team works on client engagements and related delivery for Epsilon product platforms. The team partners with clients, agencies and data providers, leveraging analytics, data science, digital measurement and emerging AI capabilities to drive strategic thought and effective decision making. The Senior Staff Data Scientist will lead a portfolio of analytics programs across client accounts, own end-to-end delivery and business impact, and serve as a senior thought partner to clients, account teams and internal leadership. This role combines strong technical depth, people leadership, client-facing executive presence and the ability to translate complex data into measurable marketing and business outcomes.
Responsibilities
Operational
- Own end-to-end delivery of analytics programs across multiple client accounts, from scoping and solution design through execution, measurement and business impact articulation
- Partner with analytic consulting teams, clients and account teams to translate agreed business objectives and analytical roadmaps into scalable analytical solutions, measurement frameworks 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 to ensure high-quality, on-time and on-budget delivery
- Provide oversight and quality assurance for statistical analyses, machine learning models, experimental designs, measurement frameworks and insight narratives
- Translate complex analytical findings into clear, compelling executive-level stories and recommendations that demonstrate measurable client business impact
- Provide technical leadership and analytics subject-matter expertise supporting pre-sales opportunities, solutioning, proof of concepts and proposal development in partnership with analytic consulting and account teams.
- Champion the adoption of scalable analytics, automation, reusable assets and emerging AI or GenAI capabilities to improve delivery efficiency and solution quality
- Guide teams in hands-on analysis of large-scale first-party, third-party and platform data, ensuring statistically valid outputs and actionable insights
- Ensure strong project governance through clear communication, risk management, collaborator alignment, documentation and proactive expectation management
Functional
- Lead, manage, mentor and grow a high-performing team of data scientists across multiple client engagements.
- Define team goals, manage performance outcomes, provide regular coaching and create structured development plans for team members.
- Provide thought leadership to strengthen analytical methods, delivery processes, reusable frameworks and best practices across the team
- Drive hiring, onboarding, capability building and succession planning in alignment with organizational growth priorities
- Foster a culture of analytical rigor, accountability, innovation, collaboration, experimentation and continuous learning.
- Ensure team engagement, utilization and delivery excellence across billable projects and critical initiatives
- Guide the team to follow all policies and procedures for project documentation, tracking specifications, QA/QC, data governance, platform access and client communication.
- Collaborate effectively with cross-functional internal teams, senior collaborators, global partners and client teams to drive measurable digital marketing and business outcomes.
Qualifications
- Bachelor’s degree, or higher, in a quantitative field such as Engineering, Statistics, Economics, Mathematics, Computer Science, Marketing Analytics or a related field; master’s degree preferred.
- Minimum 10+ years of experience in analytics, digital media analytics, marketing analytics or related consulting roles, with demonstrated experience leading client-facing analytics programs.
- 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 mandatory; Experience with Adobe Analytics, Google Analytics, Power BI and Tableau platforms would be an added 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 the ability to present complex analytical findings to senior partners through clear storytelling and visually compelling presentations.
- Excellent partner management, client relationship, consulting, prioritization and negotiation skills.
- Solid planning, resource management and project governance skills, with experience 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 and a passion for solving complex client business problems through digital data and analytics.
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
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:
Life at Epsilon:
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 View email address on click.appcast.io 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.
Compensation Range: USD $112,800.00 - USD $238,700.00/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 10/12/2026.
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