Data Scientist – Level 3

SNAP/SNAP

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

Posted 10/3/2026full-timeUnited StatesJunior💰 $118,000 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, data mining, and statistical modeling to derive actionable insights and optimize product performance. Proficient in using SQL and programming languages like Python or R to develop scalable data solutions and communicate findings through effective visualizations.

Highest-signal resume keywords

Quantitative AnalysisStatistical ModelingSQL ProficiencyPython ProgrammingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisStatistical ModelingSQLPythonRA/B TestingData MiningCore Metrics DesignData InsightsStatistical Techniques

Soft Skills

CollaborationAdaptabilityProject ManagementCommunication

Tools & Technologies

AI ToolsDashboardsData Visualization Software

Industry Keywords

Product TrendsProduct OpportunitiesProduct UnderstandingCross-Functional Collaboration

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Apply quantitative analysis, data mining, and statistical modeling to deliver actionable data insights
Drive timely decision-making to improve and optimize product creation, execution, and adoption
Collaborate with product managers, engineers, product marketers, and designers
Use AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity
Identify key product trends and new product opportunities through data modeling
Analyze product performance using core metrics
Communicate insights through visuals, dashboards, and reports

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
Ability to design, implement, and track core metrics
Ability to create visuals, dashboards, and reports
Understanding of Snapchat with strong product sense and product understanding
Adaptability in learning and applying evolving AI systems and tools
Experience initiating and driving projects to completion with minimal guidance
Experience collaborating with engineers, product managers, and other cross-functional teams

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages with equity in the form of RSUs
Office-based collaboration 4+ days per week