Responsibilities
- Develop predictive models to identify high-value users for Marketing and Commercial teams
- Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives
- Develop attribution models to quantify the impact of different campaigns, channels, and other initiatives on conversions
- Design and implement experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives
- Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions
Qualifications
- 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
- Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
- Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus
- Expert in machine learning and statistical modeling to drive data-informed decisions, experience with deploying production machine learning models a plus
- Experience in technology, financial services and/or a high growth environment is advantageous
