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Publicis Groupe

Runs advertising and digital transformation services

Senior Staff Data Scientist

Engineering LeadershipConfirmed live in the last 24 hours
Full-time$112.8k - $238.7k /yrIn-person

About the Job

Requirements

  • A bachelor's degree or higher in a quantitative field such as Engineering, Statistics, Economics, Mathematics, Computer Science, Marketing Analytics, or a related field is required; a master's degree is preferred.
  • At least 10 years of experience in analytics, digital media analytics, marketing analytics, or related consulting roles, including 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 is mandatory; experience with Adobe Analytics, Google Analytics, Power BI, and Tableau is advantageous.
  • 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.
  • Ability to present complex analytical findings to senior partners through clear storytelling and visually compelling presentations.
  • Partner management, client relationship, consulting, prioritization, and negotiation skills.
  • Planning, resource management, and project governance skills, including experience managing multiple programs, workstreams, and teams concurrently.
  • Attention to detail and commitment to analytical quality, tagging accuracy, data validation, reproducibility, documentation, and QA/QC standards.
  • Ability to drive innovation, process improvement, and adoption of new tools, technologies, AI capabilities, and analytical methodologies.

Responsibilities

  • 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 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 analytical findings into executive-level stories and recommendations demonstrating measurable client business impact.
  • Provide technical leadership and analytics subject-matter expertise for pre-sales opportunities, solutioning, proof of concepts, and proposal development in partnership with analytic consulting and account teams.
  • Champion scalable analytics, automation, reusable assets, and emerging AI or generative AI 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 project governance through communication, risk management, collaborator alignment, documentation, and proactive expectation management.
  • Lead, manage, mentor, and grow a team of data scientists across multiple client engagements.
  • Define team goals, manage performance outcomes, provide coaching, and create structured development plans for team members.
  • Provide thought leadership to strengthen analytical methods, delivery processes, reusable frameworks, and team best practices.
  • 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 in following policies and procedures for project documentation, tracking specifications, QA/QC, data governance, platform access, and client communication.
  • Collaborate with internal cross-functional teams, senior collaborators, global partners, and client teams to drive digital marketing and business outcomes.

Desired Qualifications

  • Experience with Adobe Analytics, Google Analytics, Power BI, and Tableau platforms.

About the Company

Publicis Groupe

Runs advertising and digital transformation services

Publicis Groupe runs advertising, media buying and digital transformation services for companies that want to reach consumers, coordinate campaigns and improve their business systems. Its agency network includes creative and media specialists, while Publicis Sapient builds and modernizes the technology behind clients' operations. Epsilon adds customer data and marketing technology that connect brands with audiences and measure campaign results. Clients pay for consulting, campaign creation and execution, with production and media costs billed through alongside the group's service work. Founded in 1926, Publicis Groupe is headquartered in Paris, France.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1926

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