We\'re looking for an experienced Data Scientist to join a small, high-performing engineering team. This is a highly autonomous role where you\'ll own projects from problem definition through production deployment. You\'ll work closely with business stakeholders to build data products, predictive models, internal tools, and AI-powered systems that drive strategic decision-making.
This position is best suited for someone who enjoys solving ambiguous problems, shipping production-quality solutions, and having direct ownership over their work.
What You\'ll Do
- Own data science initiatives end-to-end, turning loosely defined business questions into actionable analyses, models, internal tools, and production systems.
- Build and maintain production-grade Python applications for data collection, enrichment, scoring, and AI-assisted research using both internal and external data sources.
- Design, train, evaluate, and deploy predictive models while ensuring strong feature engineering, robust validation, and high data quality.
- Write complex SQL queries and develop dashboards, recurring reports, ad hoc analyses, and data reconciliations.
- Transform large, messy datasets into practical recommendations that improve investment decisions, business operations, portfolio management, and company growth.
- Partner directly with stakeholders to identify high-impact opportunities, communicate insights clearly, and continuously improve solutions based on real-world usage.
- Help improve internal data infrastructure, automation, and analytical capabilities across the organization.
What We\'re Looking For
- Senior Data Scientist or Analytics Engineer with a demonstrated ability to independently take business problems from initial exploration to production-ready solutions.
- Extensive experience with Python and SQL .
- Comfortable working across notebooks, APIs, application code, and modern business intelligence platforms.
- Strong understanding of applied machine learning, including:
- Data leakage prevention
- Interpretability
- Knowing when simpler solutions outperform more complex ones
- Solid data engineering experience, including building pipelines, integrating APIs, maintaining production workflows, and troubleshooting data quality issues.
- Excellent communication skills with the ability to explain technical findings to non-technical audiences.
- Highly self-motivated with strong ownership and entrepreneurial instincts.
- Comfortable leveraging modern AI tools and large language models to improve research, analysis, automation, and productivity while applying sound judgment to model outputs.
- Must be based in New York City or willing to relocate.
Preferred Qualifications
Strong candidates may have experience with one or more of the following:
- Building production data products or machine learning systems used by real customers or internal teams.
- Maintaining an active GitHub profile, contributing to open-source projects, publishing technical research, or producing high-quality technical writing.
- Applying data science to finance, venture investing, marketplaces, growth, CRM, or other operational datasets.
- Building AI-assisted research systems, LLM evaluation frameworks, or structured information extraction pipelines.
- Working as an early technical hire or founder at a fast-growing startup.
- Exceptional quantitative background demonstrated through research, competitions, Olympiads, or a highly rigorous technical education.
This Role May Not Be the Right Fit If
- You prefer managing projects rather than building and shipping technical solutions yourself.
- You prioritize predictable work hours over working in a fast-moving, high-performance environment.
- You require frequent direction or detailed task management.
- You are unable or unwilling to work onsite in New York City .
Why Join
- Solve challenging technical problems that directly influence important business decisions.
- Join a small, collaborative team where individual contributions have significant impact.
- Build systems that combine data science, machine learning, software engineering, and modern AI technologies.
- Work closely with experienced operators, investors, founders, and technical leaders across a broad range of industries.
- Gain exposure to emerging technologies, high-growth companies, and real-world business challenges.
- Enjoy meaningful ownership, rapid professional growth, and the opportunity to shape the organization\'s data capabilities.