Data Scientist, Level 4

Data Scientist at Snap Inc. applying quantitative analysis and data mining for informed business decisions.

Posted 6/26/2026full-timeLos Angeles • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $157,000 - $235,000 per yearWebsite

Tools & technologies

PythonSQL

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 and high-velocity analytical workflows to develop scalable data solutions, generate actionable insights, and accelerate decision-making while maintaining rigorous standards for accuracy, methodological integrity, data quality, and operational excellence

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.

Comp & perks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

quantitative analysisdata miningstatistical modelingSQLPythonRA/B testinginferential methodscausal methodsmachine learning

Soft Skills

collaborationdecision-makinganalytical thinkingcommunicationoperational excellence

Certifications

Bachelor's DegreeMaster's DegreePh.D.