Marketing Data Scientist (MMM and MTA)

Data Scientist – Marketing Analytics • Hybrid: Malvern, PA or Charlotte, NC (3 days onsite) • $60–$62/hr (W2 + benefits) • 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