Own the data driven insight engine for marketing by building and validating models, guiding uplift tests, and translating complex analytics into decisions that affect spend and channel strategy.

• Responsibilities: Get insight from an enormous amount of data, and take a proactive role partnering with the marketing team in finding and testing data-driven ideas for improving our efficiency.
• Responsibilities: Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model.
• Responsibilities: Monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions.
• Responsibilities: Look at complex problems and come up with testable models and algorithms that have measurable business impact.
• Responsibilities: Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives.
• Requirements: BSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering
• Requirements: 3+ years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets
• Requirements: Expertise in statistics, especially as it relates to hypothesis testing and experiment design
• Requirements: Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data
• Requirements: Experience building predictive models and causal inference models
• Requirements: Experience analyzing large and complex data sets to drive business insights and decisions
• Requirements: Expertise in using tools like R and Python for data analysis
• Requirements: Proven success supporting or making business decisions based on your data analysis
• Requirements: Excellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences.
• Requirements: Advanced experience with SQL
• Nice_to_have: Experience with Bayesian modeling methods
• Nice_to_have: Experience with Marketing Mix Models and Multi-Touch Attribution models
• Nice_to_have: Experience analyzing two-sided marketplaces
• Nice_to_have: Experience with B2C, marketplace products
• Nice_to_have: Experience with BI tools like Tableau and Looker
• Benefits: Remote work with regular in-person bonding experiences sponsored by the company
• Benefits: Competitive compensation
• Benefits: Holistic perks program (including free therapy, employee wellness, and more)
• Benefits: Excellent health, dental, and vision coverage
• Benefits: 401k benefits with employer matching contribution
• Benefits: The chance to build something that changes lives – and that people love
• Benefits: Any piece of hardware or software that will make you happy and productive
• Benefits: An awesome community of co-workers