Data Scientist III - AI-Driven Product Insights(OnsiteLA)

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 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.