Data Scientist [33394]

Stealth Startup; New York (NY); On-site; USD 130,000 - 210,000; Full time

Job summary

Stealth Startup is seeking an experienced Data Scientist to join a small, high-performing engineering team in New York City. You will own projects from problem definition through production deployment, building data products, predictive models, and AI-powered systems to drive strategic decisions.

This role emphasizes ownership, autonomous work, and collaboration with business stakeholders to deliver production-quality solutions and measurable impact.

Qualifications

• Proficiency with Python and SQL for end-to-end data science work.
• Experience turning business questions into production-ready analyses and models.
• Excellent communication to explain complex findings to non-technical audiences.
• Strong data engineering skills including building data pipelines and data quality checks.
• Willingness to be onsite in New York City or relocate as needed.

Responsibilities

• Own data science initiatives from problem framing to production deployment.
• Build and maintain production-grade Python data applications for data collection, enrichment, scoring, and AI-assisted research.
• Design, train, and deploy predictive models with robust validation and feature engineering.
• Write complex SQL queries and develop dashboards, reports, and data reconciliations.
• Transform large datasets into actionable business recommendations for investment decisions and growth.

Skills

Python

SQL

Data engineering

Communication

Ownership/ownership mindset

Education

MS/BS in CS/Statistics/Data Science

Tools

Git

Airflow

Jupyter

Job description

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.