Marketing Data Scientist (MMM and MTA)

Hybrid: Malvern, PA or Charlotte, NC (3 days onsite) 10-month contract to start (potential to extend or convert) The Planet Group is partnering with a leading enterprise organization to hire a Data Scientist to support their marketing analytics and advertising measurement initiatives . This role will collaborate closely with marketing stakeholders to develop next-generation measurement solutions that help optimize media performance across both traditional and digital channels. The ideal candidate combines strong quantitative modeling skills with a deep understanding of marketing analytics , including marketing mix modeling and attribution methodologies. What You’ll Do Build and own marketing measurement models , including Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) Analyze performance across multi-channel marketing programs including TV, audio, digital, and other paid media Apply machine learning, statistical modeling, and causal inference techniques to evaluate marketing effectiveness Work with large marketing and media datasets to identify performance drivers and optimization opportunities Partner closely with marketing and analytics teams to translate insights into clear, actionable recommendations Present findings and strategic insights to stakeholders and leadership Contribute to the development of scalable advertising measurement frameworks Must-Have Qualifications 2–5 years of experience in marketing analytics or data science Hands-on experience building Marketing Mix Models (MMM) and/or Multi-Touch Attribution (MTA) models Experience applying machine learning techniques to marketing measurement or optimization Strong statistical and analytical skills (regression, modeling, experimentation) Experience working with large marketing or media datasets Strong communication skills with the ability to translate complex analytics into business insights Experience collaborating with marketing stakeholders Familiarity with traditional and digital marketing channels Nice-to-Have Experience Experience with causal inference methods (incrementality testing, experimental design) Exposure to above-the-line marketing measurement Experience with media strategy optimization or marketing budget allocation Experience using open-source marketing measurement tools (e.g., Meridian or similar) Master’s degree in Statistics, Economics, Data Science, or a related field #J-18808-Ljbffr