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Data Scientist, Marketing Analytics
Company | Etsy |
Address | Brooklyn, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Software Development |
Expires | 2023-07-26 |
Posted at | 10 months ago |
Company Description
- Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation
- 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
- Continually evaluate and refine your technical toolkit, sharing what you learn with the team
- 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
- 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
- Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
- Experience with performance/digital marketing operations, channel attribution, churn and lifetime value models, analytical tools and infrastructure, and finding efficient growth strategies a plus
- Passionate about subjects such as experimental design, data visualization, and statistical analysis techniques
- Proficient in SQL and either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)
- 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
- 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
- Experience with Looker, Tableau, or other data visualization software a plus
- Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work
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