Publicis Groupeposted 6 days ago
$73,910 - $116,380/Yr
Full-time • Mid Level
Hybrid • Chicago, IL
Professional, Scientific, and Technical Services

About the position

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. 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

  • Solution Development: Apply technical skills and expertise in designing and developing ML/AI-based data products and analytic solutions.
  • Partner with peers in related technical areas to audit/assess current data science capabilities and offerings.
  • Operate in a constant ‘growth hacking' mode to enhance current suite of AI-based analytic data products.
  • Assist in the development of Proof-of-Concepts to evaluate new tools.
  • Work effectively with partner product stakeholders to communicate and translate product and output requirements into AI/ML solution architecture.
  • Produce high-quality code that leads to rapid delivery and compelling utility.
  • Collaborate with cross-functional teams to develop and deliver innovative AI/ML features and services.
  • Ensure projects adhere to quality standards, timelines, and budgets.
  • Stay abreast of trends, technologies, and best practices in the data science field.
  • Support internal knowledge-sharing and training programs.
  • Contribute to the company's growth by editing case studies and contributing to white papers.

Requirements

  • 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.
  • Demonstrable history of hands-on coding that showcases your prowess.
  • Mastery of multiple programming languages and development tools.
  • Exceptional problem-solving skills and a proactive approach to overcoming challenges.

Nice-to-haves

  • Strong communication and presentation skills.
  • Experience with agile and other progressive development methodologies.

Benefits

  • Medical coverage
  • Dental insurance
  • Vision insurance
  • Disability insurance
  • 401K
  • Parental and family care leave
  • Family forming assistance
  • Tuition reimbursement
  • Flexible time off
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