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Jeremy Lin Jobs (NOW HIRING)

Alliance

Senior ML Engineer

New York, NY · On-site

$114K - $157K/yr

... 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 ...

Alliance

Senior Data Scientist

New York, NY · On-site

... 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 ...

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Infographic showing various Jeremy Lin job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $73,860 per year, or $35.5 per hour.

Senior Data Scientist

Alliance Enterprises Inc.

Manhattan, NY • On-site

Other

Posted 3 days ago

New

Job description

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.

Apply