88 remote data scientist roles open to candidates in the US, all at fully remote, VC-backed startups from seed to series C. Matcha reads every job description daily and sends you one zero noise email with only the roles that really fit. No scrolling, no noise.
10k+ under the radar remote startups · 1 zero noise email
Describe your next role, cut the noise
88 open roles · 6 new this week · 80% not on LinkedIn · $186K avg pay
Modern payments infrastructure enabling secure, compliant deposits and payouts via one API.
$150K–$225K / yearTeam of 55$28.8M total fundingBacked by Commerce Ventures, Bettor Capital, Senator Investment Group
Build and improve analytical models for product quality, risk outcomes, and business decisions in payments/fintech; early-career data science role in a product-focused environment; works closely with data scientists, product managers, data engineers, and analysts; responsibilities include feature discovery, predictive modeling, statistical analysis, algorithm design, large-scale data analysis in cloud data warehouses, and compliance-oriented documentation; requires bachelor's in a quantitative field and 2–4+ years in data science/analytics or related quantitative work; must: statistics, hypothesis testing, regression, experimental design, Python, SQL, familiarity with ML concepts and scikit-learn; bonus: Snowflake/Redshift, Git, data quality best practices
Remote United States only
Customer Data Scientist at Hawk
Explainable AI-powered, unified AML/CFT suite with screening and fraud detection.
$150K–$225K / yearTeam of 267Series C · $190.4MBacked by Sands Capital Ventures, One Peak, BlackFin Capital Partners
Customer-facing data science role focused on tuning AML/fraud detection models and thresholds on customers’ live transaction data; investigates missed cases, alert quality, pattern drift, and validates changes via backtesting/sample review/sign-off; presents and defends methodology directly to customer compliance, risk, and data science teams; partners on account strategy and renewal-related value realization; documents tuning decisions for audit/regulatory defensibility; requires 5–7 years in customer-facing data science and prior AML, fraud detection, or financial crime analytics experience; must have production hands-on Python and SQL; bonus: transaction monitoring or payments fraud experience at banks/payment providers/vendors, familiarity with explainable AI and hybrid rules+AI detection
Remote US only
+84 more data scientist roles in the US
Tell us what you want. Get them in your inbox — no scrolling, no noise.
Describe your next role, cut the noise
About Matcha
Matcha is a zero-noise alternative to job boards for remote startup jobs. Instead of scrolling through hundreds of irrelevant postings, you describe your next role once and Matcha reads every job description daily to surface only the roles that actually fit. Matches arrive in a single email, as soon as a relevant role is posted. No UI to check, no notifications, no noise. Because Matcha reads full job descriptions in plain language, there is no limit to what you can filter by: not just the usual dropdowns, but anything you can put into words.
Matcha surfaces fully remote jobs at startups from seed to series A, series B, etc. typically backed by top-tier VCs like a16z, Index Ventures, Y Combinator, Google Ventures, Sequoia, Accel, Khosla Ventures, etc. Roles span software engineering, design, marketing, sales, and more. Open to candidates in Europe, the US, Canada, the UK, Brazil, Latam, APAC, and worldwide.
Frequently asked questions
Job boards make you scroll through hundreds of irrelevant posts. Matcha flips this: you describe your ideal role once (title, tech stack, team size, dealbreakers) and Matcha reads every job description daily to surface the handful that actually fit, and sends you one zero noise email. No UI to check, no noise, just a single email when something real shows up. Unlike job boards with their fixed filter sets, Matcha uses plain-language descriptions to match against full job descriptions, so you can filter by anything, something no dropdown could ever capture.
You describe what you're looking for in plain language: role, tech stack, team size, things you don't want. Every day, Matcha scans thousands of new remote startup job postings and compares each description against your preferences. Roles that match land in your inbox in a single, zero-noise email within hours of being posted.
Roles are added as soon as they are posted. About 80% of them never appear on LinkedIn.
Yes, all public jobs are covered: workatastartup (YC jobs), Ashby, Greenhouse, and more. Matcha also tracks under-the-radar startups individually, including roles that are not listed anywhere else.
Matcha was built by Fico, a Canadian repeat founder who has spent over a decade building and working at fully distributed startups. He was on the founding team of Roger.ai, a fully distributed startup he helped grow from zero to $5 billion in transaction volume and millions in ARR before it was acquired by NYSE:CPAY, where he served as VP of Engineering for four years, fully remote. Fico has a deep network of remote-first founders and understands this space firsthand.
While looking for a new startup to join, Fico found the experience exhausting: noisy job boards, limited filters, and no way to specify what actually mattered to him. Nothing let him filter the way he wanted. So he built it for himself, shared it with friends, and after seeing how much they loved it, opened it up. The goal: stay open to the right opportunity without the daily grind of checking boards or wading through noise. It takes two minutes over coffee instead of hours.
Loved by 4995 remote talent
Engineers, PMs, designers, and marketers across 40+ countries use Matcha to cut through the noise of job search and not miss the right opportunity when it's posted.
