Note: The job is a remote job and is open to candidates in USA. Merciv is a company focused on building decentralized technologies that aim to transform global financial markets. As a Data Scientist at dYdX, you will be responsible for analyzing growth metrics, designing data pipelines, and collaborating with marketing teams to drive user acquisition and retention strategies.
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 story telling, 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. Provide guidance to teammates on how to use and interpret data
- 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
Skills
- 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
Company Overview
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