The Uniswap Protocol is the largest decentralized trading and automated market making protocol (often called a DEX, “Decentralized Exchange”) on Ethereum.
The Uniswap Labs team was a major contributor to the Uniswap Protocol and now focuses on building a suite of products to support the Uniswap Labs ecosystem. Our team is one of the most impactful in crypto. We are headquartered in SoHo in New York City with the option to be partially or fully remote depending on the position.
We are seeking a Data Scientist who will work in a highly collaborative and cross-functional setting to empower data-driven decision-making at the company level. This Data Analyst will use analytical skills and machine learning to make better customer experiences. Specifically, they will use knowledge of causal inference and statistics to setup and evaluate experiments, advise the Uniswap Labs team on understanding the drivers of user engagement, and suggest product and business (growth/marketing) directions that could increase future engagement. While keeping a pulse on the product and company, they will predict future changes in business KPIs.
Requirements
Nice to Have
Uniswap Labs’ Full-Time employee benefits include unlimited and encouraged time off, 100% company-paid medical, dental, & vision for you and your dependents, 401(k) participation, annual $1,500 education stipend, up to 16 weeks paid parental leave, home office setup stipend for remote employees and daily lunches at NY headquarters (all benefits are subject to applicable taxes and based on eligibility).
Uniswap Labs is proud to be an equal opportunity employer (EEO). We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability (including gender dysphoria and similar gender-related conditions), sex, gender identity or expression, sexual orientation (including actual or perceived heterosexuality, homosexuality, bisexuality, and asexuality), veteran status, military status, domestic violence victim status, reproductive health decision making or any other protected category.