Senior Data Scientist: AI Insights & Metrics (RSUs)

SNAP, Inc.; Los Angeles (CA); On-site; USD 157,000 - 235,000; Full time

Benefits offered by this job

Paid parental leave

Medical coverage

Mental health support

Job summary

Snap Inc. is seeking a Data Scientist to join the Data Science and Insights team in Los Angeles. You will apply quantitative analysis, data mining, and statistical modeling to deliver objective, actionable insights that guide product and business decisions.

You will collaborate with product managers, engineers, and designers, build dashboards, and leverage AI tools to develop scalable data solutions while upholding rigorous accuracy and statistical integrity.

Qualifications

• Bachelor’s Degree in a relevant technical field or equivalent practical work experience.
• 3+ years post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree + 2+ years; or Ph.D.
• Experience with SQL and programming languages such as Python or R.
• Experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling.

Responsibilities

• Apply quantitative analysis, data mining, and statistical modeling to deliver actionable data insights for business and product decisions.
• Drive informed decision-making to optimize product creation, execution, and adoption.
• Collaborate with product managers, engineers, product marketers, and designers.
• Utilize AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity.

Skills

SQL

Python

R

Statistics

Data modeling

Dashboarding

Cross-functional collaboration

Education

Bachelor's Degree in statistics / mathematics / computer science / economics or related field

MS in technical field + 2+ years experience

PhD in relevant technical field

Tools

SQL

Job description

Snap Inc. is seeking a Data Scientist to join the Data Science and Insights team in Los Angeles. You will apply quantitative analysis, data mining, and statistical modeling to deliver objective, actionable insights that guide product and business decisions.

You will collaborate with product managers, engineers, and designers, build dashboards, and leverage AI tools to develop scalable data solutions while upholding rigorous accuracy and statistical integrity.