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# Data Scientist, Level 4

- **Company:** Snap Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $157,000.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Big Data, Python (Programming Language), Machine Learning, SQL Databases, Information Technology, Programming Languages
- **Published:** August 20, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3360131174&tx=YT808CYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Expertise using data modeling skills to identify key product trends and new product opportunities
 * Ability to design implement, and track core metrics to analyze the performance of our products
 * Ability to create visuals, dashboards, and reports to effectively communicate your insights
 * Ability to collaborate with engineers, product managers, and other cross-functional teams
 * Ability to initiate and drive projects to completion with minimal guidance
 * An understanding of Snapchat with great product sense and product understanding
 * Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices, * Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
 * 3+ years of post-Bachelor's experience in quantitative analysis and data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field., * 3+ years of Experience using SQL or similar big data querying languages
 * 3+ years of Experience with programming language, such as Python or R
 * 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
 * Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
 * Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
 * Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

## Description

* Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'
 * Collaborate with product managers, engineers, product marketers, and designers
 * Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.


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