Senior Manager, Data Science and Analytics

Summary

Join Uniswap Labs as the Senior Manager, Data Science and Analytics and lead a team leveraging data to drive strategic decisions and optimize products. You will collaborate with cross-functional teams, design experiments, establish data processes, and communicate findings to leadership. This role requires a Master's or PhD in a quantitative field, 12+ years of experience in data science with 5+ years in leadership, and strong proficiency in statistical analysis and programming. The position is ideally based in NYC and offers a minimum salary of $240,000-$266,000, plus equity, tokens, and benefits. Uniswap Labs is committed to diversity and equal opportunity.

Requirements

• Master’s or PhD in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field
• Proven experience (12+ years) in a data science or analytics role, with at least 5 years in a leadership position
• Strong proficiency in statistical analysis, machine learning techniques, and programming languages such as Python, R, and SQL
• Experience working with large-scale datasets and distributed computing frameworks
• Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders
• Entrepreneurial mindset with a track record of driving innovation and delivering results in a fast-paced environment

Responsibilities

• Lead and manage the data science and analytics team, providing mentorship, guidance, and professional development opportunities
• Collaborate closely with cross-functional teams including Product, Engineering, Marketing, and Finance to define data-driven strategies and priorities (how can data be used to drive 10x business impact?) and set the data science roadmap, optimizing for impact
• Drive collaboration between data science + product/eng to deliver insights that drive current product development and help to prioritize future product roadmap items
• Ensure high quality, timely work by the data science team that is translated in the most impactful way to stakeholders
• Design and execute experiments to measure the impact of new product features and initiatives
• Establish and maintain scalable processes for data collection, preprocessing, modeling, and analysis
• Communicate findings and recommendations to executive leadership and stakeholders in a clear and concise manner on regular basis that allows insights to inform actions on an ongoing basis
• Stay current with industry trends and advancements in data science, machine learning, AI, and blockchain technology, and apply them to enhance our products and services

Preferred Qualifications

Deep understanding of blockchain technology and cryptocurrency markets is highly desirable

Benefits

• Company-paid medical, dental, & vision for you and your dependents
• Gym subsidy
• 401(k) with 4% employer contribution
• Annual $1,500 education stipend
• Unlimited and encouraged time off
• Up to 16 weeks paid parental leave
• Home office setup stipend for remote employees
• Daily lunches at NY headquarters