Company description Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview This role is Hybrid working 3 times a week in our office in downtown Chicago, Illinois The Manager, Marketing Science is tasked with developing, and delivering advanced ML/AI-based products and analytic solutions integrated into the Publicis CoreAI to support the agency’s global media engagement relationship with Mars, Inc. (“Mars”). This role will be a critical driver both of technical and effective delivery of advanced analytic solutions. Specifically in the areas of connected measurement, outcomes/KPI forecasting, experimental designs at the strategic segments and geo levels, and optimization across all brand & performance media investments. We seek an experienced marketing science practitioner who has applied their technical expertise to innovative data engineering and ML/AI modeling problems. The ideal candidate blends technical-domain expertise with hands-on modeling and data engineering experience in leveraging structured & unstructured data and category experience in CPG and service-based business models. Responsibilities Role Objectives: 1. Solution Development: · As a Marketing Scientist, you will apply your technical skills and expertise in designing and developing ML/AI-based data products and analytic solutions that will be essential blocks of the Publicis CoreAI workflows and directly application to support the delivery and execution of the OneMars Measurement and Optimization roadmap - functioning independently or interfacing with other data scientists and data engineers from partner Publicis teams in-house · Partnering with peers in related technical areas (such as technology and product engineering), bring your technical domain expertise to audit/assess our current data science capabilities and offerings to support media & marketing planning and operations functions. · Operate in a constant ‘growth hacking’ mode that seeks to enhance our current suite of AI-based analytic data products. · Assist in the development of Proof-of-Concepts to evaluate new tools. 2. Subject Matter Technical Expertise: · Work effectively with partner product stakeholders to communicate and translate product and output requirements into AI/ML solution architecture, tools, tasks & code that will improve the Publicis CoreAI offering. · Hands-on expertise & in-depth knowledge of multiple programming languages, associated frameworks, and the tool ecosystem to create elegant ML/AI/GenAI applications to solve business-oriented problems. Able to adopt new languages and paradigms, applying them to the problem domain where they deliver significant benefit. · Produce high-quality code that leads to rapid delivery and compelling utility. · Ability to model in multiple data domains & platforms. Applying understanding of elastic scale and build highly available and scalable analytic systems. · Collaborate with cross-functional teams—including product strategists, data & technology engineers, and business analysts—as you develop and deliver innovative AI/ML features and services that will lead to successful workflow implementations. · Ensure projects adhere to quality standards, timelines, and budgets. 3. Domain Thought-Leadership & Industry Innovation: · Stay abreast of trends, technologies, and best practices in the data science field. · Support internal knowledge-sharing and training programs to elevate the team’s expertise. · Contribute to the company’s growth by editing case studies and contributing to white papers that highlight success stories and innovative analytic approaches. · Help raise the bar for the organization in your technical area. Qualifications · Minimum of 5-7 years of experience in data science and advanced analytics. · Has developed AI/ML analytic solutions in a fast-moving, innovation-focused organization in categories such as e-commerce/retail, entertainment/media/travel, advertising platforms/services (e.g., Google, Amazon). · Demonstrable history of hands-on coding that showcases your prowess. · Mastery of multiple programming languages and development tools. Experience of building products used by other developers. · Exceptional problem-solving skills and a proactive approach to overcoming challenges. Preferred Skills: · Strong communication and presentation skills. · Experience with agile and other progressive development methodologies. · Exceptional problem-solving skills and a proactive approach to overcoming challenges. Education: · Advanced degrees (M.Sc./PhD) in Computer Science, Engineering, Math, or a related field are preferred. · Certifications in analytics or data science (e.g., AWS Certified Data Analytics, Certified Analytics Professional) preferred. 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 USMSTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines. Compensation Range: $73,910 - $116,380 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 September 25th, 2025. #LI-DE1