Data Scientist Ii

Company Intelligence

Coinbase is a leading US-based cryptocurrency exchange platform founded in 2012, recognized as the largest in the US by trading volume as of 2021 and a global leader operating in over 100 countries. The company has approximately 4,951 employees and a market cap of $52.45 billion, with its stock (NASDAQ: COIN) publicly traded. It enables buying, selling, and trading major cryptocurrencies like Bitcoin, Ethereum, and altcoins via desktop and mobile apps for retail and institutional users, while following a fully remote-working model without a traditional headquarters. Recent performance shows volatility tied to crypto markets: Q4 2025 revenue reached $1.7 billion (down 5% quarter-over-quarter), with transaction revenue at $983 million, yet 12 consecutive quarters of adjusted EBITDA profitability amid diversification into equities, prediction markets, derivatives ("Everything Exchange"), and stablecoin USDC (now at $76 billion market cap). Q2 2024 saw net revenue decline due to post-Bitcoin ETF uncertainty, but 2023's second half outperformed all of 2022 as Bitcoin prices rose; transaction revenue historically comprised over 96% of net revenue. Analysts anticipate a turnaround despite a 27% stock drop, with next earnings on May 7,
2026. Coinbase emphasizes economic freedom through crypto, with a remote-first culture supporting global teams; no specific office locations are listed beyond remote operations, including this Chicago-listed role. Its mission centers on creating an open financial system, as reflected in pushes beyond pure trading into broader products generating over $100 million annually each.

Program Deep Dive

This Data Scientist II role at Coinbase is a remote position listed in Chicago, IL, targeted at experienced professionals rather than entry-level interns or recent graduates (18-25); it demands mid-level expertise in data science within crypto/fintech, not structured as a formal internship or graduate program with fixed timelines.[web:0 from query context] Daily responsibilities likely include analyzing trading data, building models for transaction revenue forecasting, risk assessment in volatile crypto markets, and supporting diversification products like derivatives or USDC metrics, leveraging skills in Python/R, SQL, machine learning, and big data tools for high-volume crypto datasets. No explicit program structure, mentorship, training, or post-role progression is detailed in listings, but Coinbase's remote model offers learning via real projects in a high-growth environment; career paths could advance to senior data science or product analytics roles given the company's expansion. Competencies sought: strong quantitative skills for crypto volatility modeling, familiarity with blockchain data, and ability to derive insights from transaction-heavy datasets (96%+ of revenue). Note for 18-25 applicants: This is a level II role suited for those with 2-5+ years experience, not ideal for students/recent grads. Coinbase offers separate entry-level programs like the Coinbase Fellowship or Early Career Software Engineering tracks—check coinbase.com/careers for age-appropriate internships focusing on data/crypto basics.

Application Success Guide

Requirements: Typically includes a resume, cover letter tailored to crypto/data experience, portfolio of data projects (e.g., GitHub with ML models on public crypto datasets), and proficiency in SQL/Python; advanced degree (MS/PhD) preferred for level II. No deadlines specified—apply via the provided URL ASAP as tech roles fill quickly.[web:0] Step-by-step process:

1. Submit via BuiltInChicago link: Upload resume/cover letter.
2. Automated screening for keywords (e.g., "data science," "crypto," "ML").
3. Technical phone screen (30-45 min): SQL queries, Python coding.
4. Virtual onsite: 4-6 interviews (behavioral, case studies on crypto data analysis, live coding).
5. Offer stage with remote setup. Common interview questions: "Design a model to predict trading volume drops in Bitcoin ETFs" or "Analyze Coinbase's Q4 2025 revenue decline—propose A/B tests"; behavioral: "Describe handling noisy blockchain data." Expect case studies on revenue forecasting or fraud detection in transactions; no assessment centers noted, but HackerRank-style tests common. Standout candidate: Demonstrates crypto passion via personal projects (e.g., analyzing USDC growth), quant impact (e.g., "Built model improving forecast accuracy 20%"), and remote collaboration skills.

Insider Tips

Coinbase values technical depth in crypto data (e.g., time-series forecasting for volatile assets like BTC/ETH) over pure soft skills, but emphasize adaptability in remote, fast-paced settings. Show industry knowledge: Reference Bitcoin ETF impacts, USDC's $76B cap, or "Everything Exchange" diversification—avoid generic answers. Questions to ask: "How is the data team leveraging derivatives data for new products?" or "What metrics define success for Data Scientist II in supporting EBITDA goals?" Red flags to avoid: Ignoring crypto volatility (e.g., not addressing Q2 2024 revenue dips), weak SQL/ML demos, or no blockchain familiarity; don't overpromise entry-level fit for level II.

Practical Information

Salary/stipend: For Data Scientist II (mid-level), expect $150,000-$220,000 base + equity/bonuses (crypto-tied), varying by experience/remote location; total comp often $250,000+ in high COL areas. No intern-specific stipend listed. Benefits: Competitive package includes health insurance, 401(k), unlimited PTO, crypto bonuses, learning stipends; remote perks like home office setup. Start dates/duration: Full-time permanent (not fixed-term program); flexible starts post-hiring, likely 4-6 weeks onboarding.[web:0] Networking: Join Coinbase alumni via LinkedIn (search "Coinbase Data Scientist"); attend crypto events like Consensus; leverage remote Slack channels for internal connections post-hire. For students, target Coinbase's careers page for true entry programs with mentorship networks.