Data Scientist – Level 3

Snap Inc.

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

Posted 10/3/2026full-timeUnited StatesJunior💰 $100,000 - $176,000 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 derive actionable insights and optimize product performance. Proficient in SQL, Python, and R, with a strong understanding of AI tools and data visualization techniques.

Highest-signal resume keywords

Quantitative AnalysisStatistical ModelingSQLPythonData Visualization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Quantitative AnalysisStatistical ModelingData MiningSQLPythonRA/B TestingData ModelingCore MetricsStatistical Techniques

Soft Skills

CollaborationProject ManagementAdaptability

Tools & Technologies

AI ToolsDashboardsData Visualization Software

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 decision-making to 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 through data modeling
Design, implement, and track core metrics to analyze product performance
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
1+ years of post-Bachelor’s quantitative analysis and data science experience; or Master’s degree in a technical field
1+ years of experience using SQL or similar big data querying languages
1+ years of experience with a programming language, such as Python or R
1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
Experience with data modeling, product trends, product opportunities, core metrics, dashboards, and reports
Ability to collaborate with engineers, product managers, and 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
Preferred advanced degree in applied mathematics, statistics, actuarial science, economics or related field
Preferred experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
Preferred 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 including equity in the form of RSUs
Default Together policy with in-office work 4+ days per week