Data Scientist

SNAP/SNAP

. Apply quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights .

Posted 10/6/2026full-timeUnited StatesMid-LevelSenior💰 $157,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, data modeling, and statistical techniques to drive product insights and decisions. Proficient in creating visuals and dashboards while collaborating effectively with cross-functional teams in a product-focused environment.

Highest-signal resume keywords

Quantitative AnalysisData ModelingSQLPythonStatistical Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisData MiningStatistical ModelingData VisualizationDashboard CreationCore Metrics DesignMachine LearningA/B TestingStatistical AnalysisBig Data Querying

Soft Skills

CollaborationProject ManagementAdaptability

Tools & Technologies

AI ToolsData Solutions

Industry Keywords

Product TrendsProduct OpportunitiesSocial MediaOnline AdvertisingDigital MediaMobile Technology

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Apply quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights
Drive informed and timely decisions that improve and optimize how products are created, executed, and adopted
Collaborate with product managers, engineers, product marketers, and designers
Use AI tools to develop scalable data solutions efficiently while maintaining accuracy and statistical integrity
Identify key product trends and new product opportunities
Design, implement, and track core product metrics
Create visuals, dashboards, and reports to communicate insights effectively
Initiate and drive projects to completion with minimal guidance

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 plus 2+ years of post-graduate professional experience; or a Ph.D. in a relevant technical field
Expertise using data modeling skills to identify key product trends and new product opportunities
Ability to design, implement, and track core metrics
Ability to create visuals, dashboards, and reports
Ability to collaborate with engineers, product managers, and other cross-functional teams
Ability to initiate and drive projects to completion with minimal guidance
Understanding of Snapchat with strong product sense and product understanding
Adaptability in learning and applying evolving AI systems and tools
3+ years of experience using SQL or similar big data querying languages
3+ years of experience with a 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
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 data-driven product solutions or methodological research

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages that let employees share in Snap’s long-term success
Equity in the form of RSUs
Office-based collaboration under Snap’s “default together” approach