Data Scientist
Alliance is a selective accelerator and founder community for crypto and fintech startups. It provides funding, mentorship, founder connections, fundraising support, and resources to help startups reach product-market fit and scale.
Funding history
Projects
About Alliance
Alliance operates a boutique startup accelerator based in New York City, selecting promising founders three times per year. It provides $400,000 upon admission plus a $400,000 follow-on investment at seed, domain-specific mentorship, lectures, weekly check-ins, community access, founder perks, recruiting support, fundraising introductions, and Demo Day opportunities. Its alumni community includes more than 700 crypto and fintech founders, and its portfolio spans payments, stablecoins, trading, DeFi, infrastructure, and related technologies.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You own data science and analytics end-to-end, turning ambiguous questions into analysis, models, internal tools, and production systems. You build production Python systems for data collection, enrichment, scoring, and AI-assisted research across internal and external data sources. You develop and improve predictive models, defining features, building evaluation datasets, running experiments, catching leakage and data-quality issues, and moving successful work from research into reliable production releases. You write SQL and own reporting, including dashboards, recurring reports, one-off investigations, and reconciliation against source data. You turn messy data into useful decisions for investing, portfolio support, operations, and growth. You work directly with stakeholders to decide what is worth building, explain findings clearly, and iterate based on how the work is actually used.
Requirements
- Senior, self-directed data scientist or analytics engineer
- Deep experience with Python and SQL
- Strong applied modeling judgment
- Enough data engineering depth to ship your own work
- Clear communicator with good product judgment
- High-agency, entrepreneurial, self-driven
- Comfortable using modern AI tools and LLMs
- NYC-based or willing to relocate
Responsibilities
- Own data science and analytics end-to-end
- Build production Python systems for data collection, enrichment, scoring, and AI-assisted research
- Develop and improve predictive models
- Write SQL and own reporting
- Turn messy data into useful decisions
- Work directly with stakeholders