We are looking for a Marketing Data Scientist with strong experience in advertising/media measurement, analytics, and attribution. The role will focus on campaign performance, audience analytics, measurement methodologies, and privacy-safe data collaboration.
Key Responsibilities:
Develop and interpret analytical queries using advanced SQL and Python.
Support measurement initiatives including Reach & Frequency, MTA, attribution, incrementality, MMM, and campaign performance.
Analyze advertising and media data across platforms such as Meta, Google DV360/GMP, TikTok, Pinterest, and Amazon Advertising.
Work with clean room and privacy-safe data environments such as AMC, Google Ads Data Hub, Snowflake, or LiveRamp Safe Haven/Habu.
Build analytical models and provide insights on marketing effectiveness and attribution.
Collaborate with analytics, media, and business stakeholders to translate data into actionable insights.
Required Skills:
Advanced SQL and Python.
Analytics, data modeling, and analytical query development.
Strong understanding of measurement and attribution methodologies.
Experience in advertising, media, retail media, or marketing analytics.
Preferred:
LiveRamp Clean Room / Habu / Safe Haven.
Identity Resolution and RampID.
Advertising Data Science experience.
Target Background: Candidates from advertising/media agencies such as Publicis, WPP, Omnicom, IPG, Dentsu, and GroupM, or retail media/consumer brands such as Walmart, Target, Kroger, Ulta Beauty, Costco, CVS, Walgreens, Home Depot, and Lowe’s.

Marketing Data Scientist

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