Senior Data Scientist, 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 senior analytics professional to help drive the success of product efforts at Etsy by providing concrete insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization.

You would partner closely with the Recommendations team, whose focus is building machine learning models that enable personalized shopping experiences. You'll be applying advanced analytical techniques to break down high-level strategy questions into actionable insights that drive the next stage of growth for our users. You will also be conducting online experiments to help improve buyer experience with Recommendations. Additionally you will be identifying drivers of relevance that contribute to engagement with Recommendations, and surfacing inefficiencies that could help unlock improvements to our models.

This is a full-time position reporting to the Manager, Product 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 role is a part of the Product Analytics team which is responsible for helping drive the success of product efforts at Etsy. We partner with cross-functional peers through all stages of development, using rigorous methods to: identify initial opportunities, refine the user experience, analyze the impact of our efforts, and highlight improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience!

• Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users – to teams, to senior management, and to the community.

What does the day-to-day look like?

• Lead all analytical aspects of the product lifecycle from sizing opportunities all the way through to measuring success via experimentation.

• Work closely and collaboratively with senior management within Recommendations to craft a well defined analytics roadmap.

• Use rigorous methods to conduct analysis and produce insights to improve the machine learning models that power Recommendations.

• Define metrics to ensure robust measurement of product performance.

• 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:

• 4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.

• Successful track record of guiding product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and data-driven decisions. Experience working in a two sided marketplaces environment and/or with machine learning preferred.

• Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with the Spark ecosystem; and Looker, Tableau, or other data visualization software.

• Experience with crafting and analyzing online experiments with a good understanding of A/B testing.

• Ability to conduct sophisticated analyses and regularly use advanced statistical methods (ex. Propensity Score Matching, Causal Impact, Regression Models) in your work.

• Comfortable with distilling complex insights into compelling narratives for senior executives, both verbally and visually.