Data Scientist, Level 4

Snap Inc.

Data Scientist leveraging quantitative analysis and data insights at Snap Inc. Collaborating with cross-functional teams to improve product decisions and execution.

Posted 7/15/2026full-timeLos Angeles • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $157,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative analysis, data mining, and statistical modeling to provide actionable insights for product and business decisions. Proficient in SQL, Python, and R, with a strong background in applied statistical techniques and machine learning for data-driven solutions.

Highest-signal resume keywords

Quantitative AnalysisData ScienceSQLPythonStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisData MiningStatistical ModelingApplied Statistical TechniquesMachine LearningA/B TestingCausal MethodsInferential MethodsBig Data QueryingData Solutions Development

Soft Skills

CollaborationDecision-Making

Tools & Technologies

AI ToolsStatistical Software

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePh.D.

Industry Keywords

Product-Focused RoleSocial MediaOnline AdvertisingDigital MediaMobile Technology

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages