Data Scientist, Level 3

Snapchat, Inc.; Los Angeles (CA); On-site; USD 100,000 - 176,000; Full time

Benefits offered by this job

RSUs

Paid parental leave

Comprehensive medical coverage

Job summary

Snap Inc. is seeking a Data Scientist to convert quantitative analysis into actionable insights that influence product and business decisions. You will apply data modeling, statistics, and AI tools to deliver scalable data solutions and rigorous analytics.

You will collaborate with product managers, engineers, designers, and marketers to drive data-informed choices, track core metrics, and communicate findings through compelling visuals and dashboards.

Qualifications

• Experience turning quantitative analysis into actionable insights for product decisions.
• Ability to design, implement, and track core metrics to analyze product performance.
• Ability to create visuals, dashboards, and reports to communicate insights.
• Strong collaboration with engineers, product managers, and other cross-functional teams.

Responsibilities

• Apply quantitative analysis, data mining, and statistical modeling to produce objective, actionable data insights.
• Drive informed, timely decision-making that improves product development and adoption.
• Collaborate with product managers, engineers, product marketers, and designers.
• Use AI tools to build scalable data solutions while maintaining accuracy and statistical integrity.

Skills

Data modeling

Metrics design

Data visualization

Cross-functional collaboration

Project management

AI systems familiarity

Education

Bachelor's degree in a technical field

Master's degree in a technical field

Tools

SQL

Python

R

Job description

Snap Inc. is hiring a Data Scientist to turn quantitative analysis into insights that support product and business decisions.

Responsibilities

• Apply quantitative analysis, data mining, and statistical modeling to produce objective, actionable data insights
• Drive informed, timely decision-making that improves how products are created, executed, and adopted
• Collaborate with product managers, engineers, product marketers, and designers
• Use AI tools to build scalable data solutions while maintaining rigorous standards for accuracy and statistical integrity

Requirements

• Expertise using data modeling to identify key product trends and new product opportunities
• Ability to design, implement, and track core metrics to analyze product performance
• Ability to create visuals, dashboards, and reports to communicate insights
• 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 to stay current with data-driven decision-making, insights generation, and industry best practices
• Bachelor's Degree in a relevant technical field (or equivalent years of practical work experience); or Master's degree (technical field)
• 1+ years of post-Bachelor's quantitative analysis and data science experience, or Master’s degree in a technical field
• Technologies: SQL, Python, R

Preferred Qualifications

• 1+ years of experience using SQL or similar big data querying languages
• 1+ years of experience programming in Python or R
• 1+ 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

Compensation and Work Location

• Location: Los Angeles, CA (onsite)
• Salary (US zones): Zone A $118,000-$176,000; Zone B $112,000-$167,000; Zone C $100,000-$150,000 annually
• Equity: Eligible for RSUs
• Salary range may vary by pay zone assigned to the work location

Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs

DEFAULT TOGETHER Policy at Snap

• Expect team members to work in an office 4+ days per week