# Data Scientist - DyDx at deCircle

> Remote · United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2419899 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: New York, New York, United States
- Where it can be done from (inferred): Remote · United States (evidence: "Remote role open worldwide")
- Posted: 2026-01-18 (293 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/data-scientist-dydx
- Skills listed (inferred): Python, GCP, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 60): p25 $109k, median $153k, p75 $197k

## Description (the employer's text)

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

### RESPONSIBILITIES

### Growth Analytics

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

### 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

### 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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2419899 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.