Growth & Marketing Data Scientist Lead

2 Months ago • 4 Years + • Data Analysis • $190,000 PA - $240,000 PA

Job Summary

Job Description

As a Growth & Marketing Data Scientist Lead at dYdX, you will collaborate with marketing and cross-functional teams to analyze campaign strategies, product usage, and user behavior. You'll build data pipelines, design and maintain data models, and own marketing dashboards to influence product and senior leadership decisions. This role also involves ensuring data quality, promoting data-first culture, and optimizing data infrastructure. This role involves understanding campaign strategies, lifecycle efforts, product usage metrics, and translating them into actionable data insights.
Must have:
  • 4+ years of experience in data science or similar discipline
  • 2+ years of experience with blockchain or order book data
  • Expertise in SQL and database technologies
  • Proficient in Python
  • Proficient with data visualization tools
  • Solid understanding of ETL processes and data warehousing principles
Good to have:
  • Familiarity with cloud data platforms (AWS, GCP, Azure)
  • Understanding of machine learning methodologies
  • Experience in trading, particularly high-frequency trading
  • Passion for DeFi and web3
  • Relevant certifications in data engineering or analytics

Job Details

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

  • Collaborate closely with marketing and other crossfunctional 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

Data Infrastructure & Enablement

  • 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

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 HAVES:

  • 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

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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About The Company

At dYdX you'll have an opportunity to build state-of-the-art decentralized technology that will redefine global financial markets. By joining us at this early stage you will make fundamental decisions that will shape the course of dYdX. We prefer passionate quick learners with a history of excellence at top companies and/or universities. About dYdX: We've built the world's leading decentralized exchange for lending, borrowing and margin trading Ethereum based assetsdYdX is founded by an ex-Coinbase, ex-Uber engineer, with Princeton CS background.

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