Data Scientist, Product Analytics

Company overview

Etsy is a worldwide marketplace focused on distinctive and handmade-style goods. The company develops and maintains the products, systems, and technologies that help connect millions of sellers with millions of buyers across the globe. As part of Etsy Inc., whether you join Etsy or Depop, you’ll work on meaningful, large-scale challenges with collaborative teammates while contributing to Etsy’s mission of keeping commerce human.

Role summary

Etsy is looking for an experienced analytics professional to support the product team behind its seller-facing advertising experience. This position plays an important role in improving Etsy Ads, one of the company’s key seller products. You will conduct deep behavioral analysis to better understand seller goals and also work closely with the machine-learning models that support the Etsy Ads system.

This is a full-time position reporting to the Senior Manager, Product Analytics. Along with base pay, the role includes eligibility for equity, an annual performance bonus, and Etsy’s benefits package for employees and their families.

The position requires in-office presence at Etsy’s Brooklyn office once or twice each week, depending on how close you live to the office. Applicants who are within commuting distance of the Brooklyn office hub may be prioritized for consideration.

Team environment

• Product analytics scientists at Etsy apply strong analytical methods to generate insights that shape product, marketing, engineering, and business decisions.
• The team works closely with partner groups through the full lifecycle of a project, from identifying opportunities and designing experiments to measuring outcomes and communicating insights.
• Continuous learning is encouraged, and the team values improving skills, methods, and tools while telling clear data-driven stories to teams, leadership, and the broader community.

Key responsibilities

• Work with product squads across the Ads initiative to help build advertising tools that enable Etsy sellers to grow their businesses.
• Plan and evaluate robust experiments, support hypothesis development, and interpret experimental results with strong statistical rigor.
• Convert raw datasets into clear, useful analysis using sound governance, transparent methods, and well-documented processes.
• Help strengthen the analytics function through high-quality work, mentoring, and the introduction of better practices, workflows, and tooling.
• Take on additional responsibilities as needed, since duties may evolve over time at the company’s discretion and in line with applicable local law.

Required background and qualifications

• At least 2 years of experience as a data scientist or data analyst working with large datasets to uncover insights.
• Hands-on experience with A/B testing and statistical analysis of experiment results.
• Strong SQL skills, plus practical experience with R or Python and scripting or automation methods.
• Ability to think creatively and apply curiosity to solve business problems and drive impact.
• Experience with causal inference analysis is strongly preferred.
• Exposure to machine-learning teams is a plus.
• Previous work in e-commerce is also an advantage.
• Experience with Looker, Tableau, or similar visualization tools is beneficial.

Compensation and benefits

The base salary range for this role is $124,000 to $160,000 per year. In addition to salary, the position is eligible for equity and an annual performance bonus, along with Etsy’s competitive benefits package.

Additional information

Applicants are invited to submit a resume, and a cover letter is optional. Etsy values individuality and welcomes candidates to present themselves authentically.

Equal opportunity and inclusion

Etsy is committed to building a diverse, equitable, and inclusive workplace. The company encourages people from all backgrounds, ages, abilities, and experiences to apply. Employment decisions are made without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other legally protected characteristic. Reasonable accommodations are available for candidates who need support during the application or interview process. Visa sponsorship may be available for some roles and skills, though it can be limited.