Data Scientist
dYdXNew York, NY, United States1 day ago
Job type
- Full-time
Job descriptionCollaborate 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 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 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
At dYdX you'll have an opportunity to build state-of-the-art decentralized technologies that will redefine global financial markets. By joining us at this stage in our growth, you will help make fundamental decisions that will shape the course of dYdX.
→ Learn more about working at dYdX
ABOUT dYdX :
- We’ve built the software underlying the world’s leading decentralized exchange for advanced trading of crypto derivatives
- dYdX is founded by an ex-Coinbase, ex-Uber engineer, with a Princeton CS background. Our team has previous experience at Coinbase, Uniswap, Google, Amazon, Lyft, Meta and other top companies
- We're a world-class team with top backers and advisors, including Andreessen Horowitz, Polychain Capital, Brian Armstrong, Fred Ehrsam, Naval Ravikant, Elad Gil, and more
RESPONSIBILITIES : Growth Analytics
Data Infrastructure & Enablement
REQUIREMENTS :
NICE TO HAVES :
Salary range for this job is $190K to $240K USD (NY). Compensation subject to experience and location. Published salary bands pursuant to transparency laws, and do not include possible variable compensation such as annual merit increases, bonus eligibility, commission, or equity incentive.
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Data Scientist • New York, NY, United States
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