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Lead Data Scientist

$112.29k - $161.28k

Digitas

Lead Data Scientist

Company description Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries. The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds. This role at Digitas will serve as a member of Publicis Groupe's strategic internal agency, Constellation. Constellation serves as an internal-facing brand formed by a collective of Publicis Groupe agencies to address our client's creative, data, strategy, media, and technology requirements. Team members collaborate across agencies while functioning as sub-divisions within their respective brands to provide dedicated support for the client. By acting as a unified interface, Constellation eliminates operational silos and presents a single service entity and primary point of contact for the client.

Overview

By implementing conceptual data frameworks and developing marketing science solutions, The Lead Data Scientist is a key partner for our client and internal teams. In this role, you will show thought leadership in bringing innovative data science methodologies that answer our client's marketing and strategy questions.

Responsibilities

Client & Business Impact

  • Serve as a strategic advisor to clients and internal stakeholders on data science applications and approaches
  • Translate analytical work into clear business value and actionable recommendations
  • Identify opportunities to expand data science impact and contribute to organic account growth

Project & Cross-Capability Leadership

  • Lead multiple concurrent data science projects across clients and capabilities with varying complexity
  • Define project approach, manage risks, and align stakeholders on priorities and outcomes
  • Partner across media, strategy, analytics, and technology teams to deliver integrated solutions
  • Represent data science across cross-functional initiatives and client engagements

Thought Leadership & Innovation

  • Provide a clear point of view on statistical methods, machine learning, and measurement approaches
  • Evaluate, develop, and socialize new methodologies, tools, and AI-driven solutions
  • Apply innovative thinking to solve complex marketing and business problems

Team Leadership & Culture

  • Mentor and develop junior team members through coaching and feedback
  • Foster a collaborative, inclusive, and high-performing team environment
  • Contribute to capability development, training, and best practices
Qualifications

7–9 years of experience in data science, analytics, or marketing science within an agency, consulting, or technology environment

Strong foundation in statistical modeling, machine learning, causal inference, and experimental design

Proficiency in SQL, Python and/or R; experience with distributed systems or large-scale data processing preferred

Experience with Marketing Mix Modeling (MMM), attribution, and incrementality measurement

Hands-on experience with cloud platforms (preferably GCP: BigQuery, Looker, DataProc) and deploying data science solutions

Strong understanding of modern AI/ML approaches and their practical applications

Proven ability to connect data science solutions to business outcomes and client value

Demonstrated experience leading multiple projects and influencing cross-functional teams

Experience managing and developing data science talent

Excellent communication skills, with the ability to synthesize complex concepts for a range of audiences

Comfortable navigating ambiguity in fast-paced, evolving environments

Additional Information

Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact View email address on click.appcast.io. All your information will be kept confidential according to EEO guidelines. Compensation Range: USD $112,290.00 - USD $161,280.00/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 9/15/2026.

Vacancy posted 19 hours ago
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