About the position
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. We are looking for a Data Scientist to join our Marketing Analytics team in Brooklyn! Learning new skills and techniques is not only a requirement but a perk of the job. Our mission is to demystify marketing with insights grounded in data, telling the story of how we attract and retain our users to teams, to senior management, and to the community. This is a full-time position reporting to the Manager of Analytics. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.
Responsibilities
- Develop, implement, and refine core marketing measurement frameworks and models, including attribution, CLV, return on investment, experiment methodology, and segmentation.
- Drive forward strategy for performance marketing partners by transforming raw data into meaningful and impactful analyses characterized by strong data governance, technique clarity, and clear documentation.
- Play a foundational role in deciding how we can best engage and grow Etsy users by determining and helping prioritize opportunities for growth through analysis of behavioral and transactional data.
- Identify key metrics that drive the performance of marketing channels and marketing products, make these accessible to partners through dashboards and reports, and drive these metrics through statistical analyses of experiments.
- Continually evaluate and refine your technical toolkit, sharing what you learn with the team.
Requirements
- 2+ years of proven experience as a data scientist/analyst or in a quantitative role in which you extracted meaning from big data sets with little engineering support.
- Experience with performance/digital marketing operations, channel attribution, churn and lifetime value models, analytical tools and infrastructure, and finding efficient growth strategies.
- Proficient in SQL and either R or Python.
- Proven ability to communicate your insights verbally, visually, and in writing with teammates and business partners.
- Strong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problems.
Nice-to-haves
- Experience working on marketing measurement projects, such as building and deploying models (MTA, LTV, etc.) and running experiments (geoX, CLS, etc.).
- Experience with Looker, Tableau, or other data visualization software.
- Passionate about subjects such as experimental design, data visualization, and statistical analysis techniques.
Benefits
- Equity package
- Annual performance bonus
- Competitive benefits that support you and your family
