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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Product Analytics - **Company:** BROOKIN LLC - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $124,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Big Data, Data Governance, Statistical Hypothesis Testing, Python (Programming Language), Raw Data, SQL Databases, Tableau (Software), Transaction Data, Usage Analysis, Apache Spark, Etsy, Looker Analytics - **Published:** June 27, 2026 - **Apply:** https://www.dice.com/job-detail/9658926e-2677-4c31-87c4-18dfad8e8298 ## About the Role * 2+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support. * Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with Spark and Looker, Tableau, or other data visualization software. * Deep understanding of experimentation theory and practice. * Specialize in sophisticated analyses and regularly use statistical methods in your work. ## Description Join us as a Data Scientist, Product Analytics and play a pivotal role in redefining Etsy's search experience. Working with the product and engineering teams, you'll transform how buyers browse and find what they love-helping create meaningful connections between people and the products that matter to them. Leveraging behavioral data and modern AI tools, you'll uncover insights faster, guide product strategy, and accelerate user engagement and growth. This is a full-time position reporting to the Senior 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? Data scientists at Etsy use rigorous methods to generate insights that inform product, marketing, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways 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? * Partner closely with the Search team to shape how millions of buyers discover Etsy-crafting a browsing experience that surfaces the most relevant, inspiring finds at just the right moments. * Turn behavioral and transactional data into actionable insights that inform product decisions and drive user engagement and marketplace growth. * Design and evaluate rigorous experiments, helping teams frame strong hypotheses and delivering clear, trustworthy readouts that influence direction. * Translate complex, raw data into meaningful analysis-grounded in strong data governance, transparent methods, and well-documented work others can build on. * Elevate the broader analytics community through mentorship, high-quality work, and by introducing better practices, tools, and ways of working. * 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., * Distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse. * Guided product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and driven decisions. * Passionate about reproducible work and have picked up tools to this end. * Acted as a mentor, guiding others to make their own work better and more efficient. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AI is an Electric Bike for the Brain - Stoyan Stefanov](https://www.wearedevelopers.com/videos/1771-ai-is-an-electric-bike-for-the-brain-stoyan-stefanov) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)