Summary
Seeking a hands-on Data Scientist II to join the Marketing Analytics team to build end-to-end data products, incrementality testing, sales attribution, and machine learning models that inform marketing strategy and investments. This hybrid role requires working onsite in Seattle a minimum of four days per week and collaborating with partner teams to deliver scalable analytics solutions for strategic decision making.
Responsibilities
- Develop analytics applications to extract insights from large disparate data sources using Python R SQL and visualization tools
- Build and maintain onsite display and sponsored ads search relevancy models for optimized media performance
- Design and analyze controlled experiments and A/B tests to validate model performance
- Build and enhance customized sales attribution and incrementality models connecting marketing to business outcomes
- Optimize marketing investments using modeling forecasting simulations and testing
- Perform large scale statistical analyses and develop regression and causal models for marketing use cases
- Build deploy and maintain robust data models and data driven software for scalable statistical modeling
- Collaborate with partner and consulting analytics teams to deliver data science products and ad hoc analyses
Requirements
- Bachelor's degree in a quantitative field or equivalent experience
- 5+ years hands on professional experience in Data Science and Analytics
- 3-5+ years strong coding skills in R or Python and proficiency with SQL
- Expertise in statistical modeling experimental design inferential statistics and machine learning
- Experience with sales attribution multi touch closed loop attribution and causal measurement
- Familiarity with marketing modeling techniques including transformations synergistic effects and creative decay
- Experience with data visualization tools such as Tableau Shiny Streamlit Looker or Looker Studio
- Experience with brand specific retail marketing data such as Meta Ads and Google Ads
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