4+ years of experience in Marketing Data Science, including in-depth experience with Media Mix Modeling, data-driven attribution, customer lifetime value prediction, and recommender systems.
Demonstrable experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
Experience with experimentation/causal inference methods.
Proficiency in one or multiple BI tools such as Looker, Tableau or equivalent.
Previous experience in a marketplace or ecommerce business.
Responsibilities:
Work with large and complex data sets to build both descriptive and predictive Media Mix Models to measure the impact of marketing efforts and optimize those programs for maximum efficiency.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop and execute strategies for our Marketing team.
Define, understand, and test opportunities and levers to improve Marketing efforts, and influence roadmaps through your insights and recommendations.
Partner with Marketing, Finance, Engineering, and cross-functional teams to inform, influence, support, and execute Marketing strategy and investment decisions.
Tackle complex problems uniquely inherent to our global double-sided work marketplace.