Senior Data Scientist

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 Git Hub, 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…