Data Scientist

About the Role

Key Responsibilities

• Collaborate closely with marketing and other cross-functional teams to understand campaign strategies, lifecycle efforts, product usage metrics, and translate those into actionable data insights using tools like SQL and Mode
• Analyze growth funnels, campaign performance, and user cohorts to identify key acquisition and retention drivers to inform product decisions
• Own attribution and cohort analyses across marketing channels to optimize user acquisition strategy
• Design and evaluate A/B tests and lifecycle marketing strategies to improve user conversion and engagement
• Design and maintain scalable data pipelines and structured models in the data warehouse (e.g., using SQL) to power marketing dashboards, campaign tracking, and self-serve analytics
• Build pipelines for blockchain transaction, order book, and market participant data to support analysis of user behavior, product engagement, and market dynamics relevant to growth strategies
• Own and evolve marketing dashboards with KPIs, data visualization with strong storytelling, etc., to influence marketing and product decisions for Senior Leadership
• Ensure high data quality and consistency by implementing validation, monitoring, and documentation standards; establish strong data governance practices across marketing and growth analytics
• Help instill a data-first culture by making tools and metrics intuitive, reliable, and accessible, and provide guidance to teammates on data usage and interpretation
• Continuously enhance data infrastructure by optimizing systems, evaluating new tools, and promoting data best practices across the organization
• Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs

Requirements

• Bachelor's or Master's degree in quantitative fields (Computer Science, Statistics, Economics) or a related field
• 4+ years of experience in data science, analytics, product analyst or a similar discipline
• 2+ years of experience working with blockchain or order book data (e.g., experience indexing blocks, building dashboards in Dune or similar, working with market data from crypto exchanges)
• Expertise in SQL, database technologies, cloud databases, and reporting technologies (BigQuery, GCP, and Mode or similar)
• Proficient in Python
• Proficient with data visualization tools for generating insights and communicating findings effectively
• Solid understanding of ETL processes, data modeling, and data warehousing principles
• Entrepreneurial and intellectually curious, with a passion for asking the right questions, exploring data, and developing well-reasoned hypotheses

Nice to Have

• Familiarity with cloud data platforms (e.g., AWS, GCP, Azure)
• Understanding of machine learning and data science methodologies
• Experience or knowledge in trading, particularly high-frequency trading (HFT), market structure, and derivatives
• Passion for DeFi and web3, with specific interest in dYdX and a proven track record
• Relevant certifications in data engineering or analytics