SeatGeek is looking to optimize marketing channel performances and make data-driven decisions to grow and retain customers.
Requirements
- Expertise with at least one scripting language (ideally Python, though R is acceptable)
- Expert-level knowledge of SQL
- Experience with analytics & visualization tools (Looker, ggplot/matplotlib or equivalent)
- Experience performing analysis with large datasets
- Experience working with languages such as Python or R, SQL
- Experience with version control using Git
- Experience with orchestration using Airflow
Responsibilities
- Develop, validate and maintain machine learning models that support business strategies and decisions
- Design experiments or use causal inference methods to measure channel incrementality or campaign effectiveness
- Develop research questions and conduct data analysis to generate insights and recommendations
- Define, evaluate, and monitor key metrics, understanding the root causes of changes
- Work closely with the Analytics Engineering team to build lasting, analysis-friendly data models
- Contribute to the development of the Demand Analytics function and the wider data community at SeatGeek
- Partner with stakeholders on the Demand team, understanding their objectives and aligning our work to complement and enhance their ability to achieve those goals
Other
- 3+ years of relevant applied experience with a degree or higher in economics, computer science, statistics, or mathematics or another quantitative discipline
- Independent thinking, ability to work autonomously, capability of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences
- Natural communication skills with a value for building strong relationships with colleagues and partners and enjoys mentoring and teaching others
- Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
- Unlimited PTO
- Up to 16 weeks of fully-paid family leave
