Senior Data Scientist - End-to-End ML & Data Products

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

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.