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Data Scientist, Payments

Etsy · On-site · Full-time · Brooklyn, New York, US · United States

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Job description

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 employee, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. We believe exceptional companies are built by exceptional teams, and we're intentional about it. That means hiring great people, setting them up for success from day one, and giving them real reasons to grow their careers here. We invest in development that goes beyond promotions, and we foster the trust and relationships that help people do their best work together. What’s the Role? We’re looking for a Data Scientist to join Etsy’s Payments Analytics team and help make payments more seamless and reliable. You’ll partner with Product, Engineering, and fellow analysts to evaluate opportunities and inform product decisions through analysis, experimentation, and foundational data work. This is a full-time position reporting to the Manager, Analytics. What’s this team like at Etsy? The Payments team improves buyer and seller financial experiences and the infrastructure that supports transactions across Etsy. Payments Analytics helps the team understand customer behavior, builds trusted data sources, and measures the impact of product decisions. What does the day-to-day look like? Own well-scoped analyses, from understanding product goals and questions to defining metrics that measure success and sharing findings. Analyze buyer and seller behaviors to identify ways to improve payments experiences. Design and analyze experiments to measure product impact. Build and maintain reliable datasets and dashboards, with clear documentation. Turn findings into actionable recommendations and work with partner teams to prioritize follow-up opportunities. 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 experience in data science, analytics, or another quantitative role, using data to answer business questions. Proficient in SQL, with some experience in Python or R. Experience with experimentation, dashboarding, and foundational statistical methods. Ability to manage well-scoped analytical projects and collaborate with stakeholders from planning through delivery. Strong commitment to data quality, reproducibility, and clear documentation Ability to communicate insights clearly and translate findings into actionable recommendations Curiosity about customer behavior and a growth mindset. Experience in payments, marketplaces, or e-commerce is a plus. Compensation & Benefits In addition to salary, you'll be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family. Base salary is determined by your location, skills, and experience. Etsy uses two geographic pay zones to reflect the labor markets where we compete for talent: one called Geo-1, covering the New York City metropolitan area, San Francisco Bay Area, and Seattle metropolitan area, and one called Geo-2, covering all other U.S. locations. Salary ranges for this role vary by zone and are listed below. Location We prioritize candidates based within commutable distance of Etsy’s Brooklyn Office. Depending on proximity, we ask team members to come in once or twice per week. Remote candidates outside commutable distance may be considered on a case-by-case basis, with the expectation of occasional travel to the office. Learn more details about our work modes and workplace safety policies here . Salary Range: • Geo-1: 126,000.00 - 170,000.00 USD Annu

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