Data Scientist, Level 4

Snap Inc.•Los Angeles, CA

1d•$133,000 - $235,000•Onsite

About The Position

Snap Inc.’s Data Science and Insights team uses large datasets to produce actionable insights and improve the quality and speed of decision-making across the organization. The team provides objective analysis and deep expertise to help the company better understand its customers and products. The Data Scientist applies quantitative analysis, data mining, and statistical modeling to inform business and product decisions. The role collaborates with product managers, engineers, product marketers, and designers; uses AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity; and helps identify product trends and opportunities, define and track metrics, and communicate findings.

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 in data modeling to identify product trends and opportunities.
Ability to design, implement, and track product performance metrics.
Ability to create visuals, dashboards, and reports.
Ability to collaborate across functional teams and drive projects with minimal guidance.
Understanding of Snapchat and strong product sense.
Adaptability in learning and applying evolving AI systems and tools.

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 applying 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 objective, actionable insights for business and product decisions.
Drive timely, informed 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 using 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.