Staff Data Scientist (Marketing)

Strong proficiency in Python, SQL and statistical libraries (Pandas, Statsmodels, PyMC, Scikit-learn) PySpark, ideally in Databricks, and familiarity with BI tools (Power BI, Tableau, or Looker) Proven experience building MMMs, running A/B or lift tests, or applying causal inference methods Hands-on experience with Mobile Measurement Partners (MMPs) like Adjust, Singular, or AppsFlyer Deep understanding of regression modeling, time-series analysis, and experimental design Ability to connect statistical results with marketing ROI and payback implications Translate complex findings into clear narratives for marketing and leadership teams Comfortable working cross-functionally with marketing, finance, and product data teams

Develop and maintain Marketing Mix Models (MMM) and incrementality frameworks Design, execute and analyze A/B and geo-based experiments, applying causal inference methodologies Partner with User Acquisition and CRM teams to optimize spend allocation and creative effectiveness Build automated dashboards and reports for campaign performance Collaborate with Martech, data engineering and analytics teams to enhance data pipelines Present clear, data-driven insights to executives Continuously evaluate new measurement methodologies