Senior Data Scientist, Core

SNAP/SNAP

Senior Data Scientist utilizing quantitative analysis to inform product decisions at Snap Inc. Collaborating cross-functionally to deliver actionable data insights and optimizations.

Posted 7/11/2026full-timeLos Angeles • California, New York, Washington • 🇺🇸 United StatesSenior💰 $190,000 - $284,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, data mining, and statistical modeling to deliver actionable insights and optimize product development. Proficient in machine learning and statistical techniques, with a strong focus on collaboration and communication across cross-functional teams.

Highest-signal resume keywords

Quantitative AnalysisMachine LearningStatistical ModelingSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningStatistical TechniquesA/B TestingInferential MethodsCausal Methods

Soft Skills

Creative ThinkingProactive Problem SolvingEffective Communication

Tools & Technologies

AI ToolsBig Data Querying Languages

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD

Industry Keywords

Social 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
Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions
Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
Communicate best practices in quantitative analysis and develop cross-functional partnerships
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
5+ years of post-Bachelor’s quantitative analysis and data science experience; or a Master’s degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience
5+ years of experience using SQL or similar big data querying languages
5+ years of experience with programming language, such as Python or R
5+ 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 that let you share in Snap’s long-term success!