Data Scientist, Marketing Analytics

Company Description
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.

Salary Range:

What’s the role?

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. We are always looking for opportunities to improve. 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.

This role requires your presence in Etsy’s Brooklyn Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here .

What’s this team like at Etsy?

The Marketing Analytics team is responsible for helping drive the success of marketing efforts at Etsy by providing meaningful insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization.

We partner with our peers in marketing, analytics, research, product, engineering, and finance through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience.

What does the day-to-day look like?

• 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.

• 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.

Qualities that will help you thrive in this role are:

• 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 a plus.

• Experience working on marketing measurement projects, such as building and deploying models (MTA, LTV, etc.) and running experiments (geoX, CLS, etc.), is a plus.

• Proficient in SQL and either R or Python.

• Proven ability to communicate your insights verbally, visually, and in writing with teammates and business partners.

• Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work.

• Strong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problems.

• Passionate about subjects such as experimental design, data visualization, and statistical analysis techniques.

• Experience with Looker, Tableau, or other data visualization software a plus.