Data Scientist, Level 4

Snap Inc.•Los Angeles, CA

3d•$133,000 - $235,000•Onsite

About The Position

Snap Inc.’s Data Science and Insights team turns large data sets into actionable insights that improve business and product decisions. The team aims to provide unbiased analysis, efficient execution, and timely insights that deepen the organization’s understanding of its customers and products. The Data Scientist applies quantitative analysis, data mining, and statistical modeling to provide objective and actionable insights, and collaborates with cross-functional partners to improve how products are created, executed, and adopted. The role also uses AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity. Snap follows a “default together” approach and expects team members to work in an office 4 or more days per week. The position is eligible for equity in the form of RSUs. U.S. base salary ranges by pay zone are $157,000–$235,000 for Zone A (CA, WA, NYC), $149,000–$223,000 for Zone B, and $133,000–$200,000 for Zone C. Starting pay depends on job-related skills, experience, qualifications, work location, and market conditions.

Requirements

Bachelor’s degree in a relevant technical field, such as statistics, mathematics, economics, computer science, or engineering, or equivalent practical work experience.
At least 3 years of post-bachelor’s experience in quantitative analysis and data science; or a master’s degree in a technical field plus at least 2 years of post-graduate professional experience in quantitative analysis and data science; or a Ph.D. in a relevant technical field.
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 effectively.
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 and strong product sense and product understanding.
Adaptability in learning and applying evolving AI systems and tools for data-driven decision-making, insight generation, and industry best practices.

Nice To Haves

At least 3 years of experience using SQL or similar big-data querying languages.
At least 3 years of experience with a programming language such as Python or R.
At least 3 years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling.
Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field.
Experience in a product-focused role at a social media, online advertising, digital media, or mobile technology company.
Experience using machine learning and statistical analysis to build data-driven product solutions or conduct methodological research.

Responsibilities

Apply quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, actionable insights for business and product decisions.
Drive 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.
Design, implement, and track core product metrics.
Create visuals, dashboards, and reports to communicate insights.
Initiate and drive projects to completion with minimal guidance.