Lead Data Scientist

Lead Data Scientist

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.

Job Responsibilities

Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy. Providing internal expertise in fundamental skill areas such as statistical methods, machine learning, AI, distributed computing, and open-source programming. Providing thought leadership and innovation in process, technique, and implementation. Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines. Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences. Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.

We're looking for rigorous analytic training and 7+ years professional experience in a data science or analytics role, which typically includes: Robust domain expertise in areas of statistical methods, machine learning, AI, distributed computing, and/or open-source programming languages Experience integrating a variety of data sources, methods, and applications to achieve specific objectives Experience implementing a range of statistical or machine learning methods, from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation. Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred. Demonstrated ability to communicate complex technical concepts to non-technical audiences Demonstrated passion for marketing analytical applications Demonstrated self-starter who thrives in a fast-paced environment with flat structure. Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Digitas is an equal opportunity employer. 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 $172,032.00/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. Temporary roles may also qualify for participation in our 401(k) plan after eligibility 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.