Own end-to-end data science and analytics: build production Python systems, develop and deploy predictive models, write SQL and dashboards, turn messy data into actionable decisions, and work directly with stakeholders to iterate and ship reliable production features.
Senior Data Scientist
Location: NYC (onsite only – not remote)
Alliance is the leading accelerator for crypto & AI founders. Since 2020 we’ve backed 300+ startups (Rain, Pump, Synthetix, Pendle, and many more), now collectively valued at $15B+.
We’re hiring a Data Scientist to join our in-house engineering team. You’ll report directly to Carter (CTO) and will be responsible for owning features from the requirements definition stage to production.
What You’ll Do
- Own data science and analytics end-to-end: turn ambiguous questions into analysis, models, internal tools, and production systems without waiting on a PM or a large engineering team.
- Build production Python systems for data collection, enrichment, scoring, and AI-assisted research across internal and external data sources.
- Develop and improve predictive models: define features, build evaluation datasets, run experiments, catch leakage and data-quality issues, and move successful work from research into reliable production releases.
- Write SQL and own reporting including dashboards, recurring reports, one-off investigations, and reconciliation against source data.
- Turn messy data into useful decisions for investing, portfolio support, operations, and growth. The output should be understandable and actionable, not just statistically interesting.
- Work directly with stakeholders to decide what is worth building, explain findings clearly, and iterate based on how the work is actually used.
What we’re looking for
- Senior, self-directed data scientist or analytics engineer who can take a loosely defined business problem from first query through a production-quality answer.
- Deep experience with Python and SQL; comfortable working across notebooks, application code, APIs, and Metabase.
- Strong applied modeling judgment: feature design, evaluation, missing data, leakage, calibration, interpretability, and knowing when a simple approach is better.
- Enough data engineering depth to ship your own work: build pipelines, integrate APIs, debug bad source data, and maintain production workflows without heavy engineering support.
- Clear communicator with good product judgment who can work directly with non-technical stakeholders and turn analysis into a recommendation or operating tool.
- Extremely high-agency, entrepreneurial, self-driven.
- Comfortable using modern AI tools and LLMs for analysis, enrichment, evaluation, and automation without treating model output as ground truth.
- NYC-based or willing to relocate (non-negotiable).
Examples of strong qualifications (good to have but not required)
- Shipped data products or models that people actually use, with evidence of owning the path from raw data and experimentation through production and iteration.
- Strong public work: a standout GitHub, useful open-source contributions, published research, technical writing, or unusually good independent analysis.
- Experience applying data science to venture, finance, marketplaces, growth, CRM, or other messy operational datasets.
- Experience building LLM evaluation systems, structured extraction pipelines, or AI-assisted research products.
- Founder or early data hire at a fast-moving startup, especially where you operated without a dedicated data platform or large engineering team.
- Clear signals of exceptional quantitative ability: strong research, competition results, Math/Physics Olympiad performance, or a top technical academic background.
Why NOT join us
- Not willing to get hands dirty: doesn’t matter how important you were in past organizations; at Alliance we’re all builders, not managers (even though many of us were managers in past lives).
- Prioritizing work/life balance: this role demands focus, hunger, and a career-defining level of commitment. You must be locked in.
- Low agency: if you need someone else to set your priorities or keep you on track, you will fail.
- You can’t relocate to NYC. This is non-negotiable: our founders are here, and so are we.
Why join us
- Work with the most ambitious founders in crypto and AI. Learn firsthand from hundreds of startups succeeding – or failing.
- Join a small, high-trust, high-performance team with outsized impact. We’re ex-Meta, WhatsApp, Coinbase, YC, and have collectively founded multiple venture-backed startups.
- We’re backed by S-tier investors including Initialized Capital, Founders Fund, Multicoin, and Dragonfly, along with angels such as Balaji Srinivasan (ex-Coinbase CTO), Kevin Weil (CPO at OpenAI), Kevin Lin (Twitch co-founder), and Jeremy Allaire (Circle CEO), among many others.
- Direct ownership and visibility: your work shapes how the next generation of founders discovers Alliance.
- Career accelerator: this role sets you up, experience- and network-wise, for any high-impact path in crypto/AI – at startups, venture firms, or your own company.
- Alliance startups are reinventing industries – from media to payments – and improving the lives of everyday people. You’ll have a front-row seat as they change the world.
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