Senior Lead Data Scientist — ML & Causal Inference

Snapchat; Santa Clarita (CA); On-site; USD 229,000 - 343,000; Full time

Job summary

Snap Inc. seeks a Lead Data Scientist to act as the organization subject matter expert for experimentation and causal inference methodologies.

You will lead medium to large projects across multiple groups, architect scalable statistics, ML, and data products for internal tooling, and translate complex analyses into strategic business insights. You will collaborate with product, engineering, and research teams to identify new opportunities and shape product strategy, driving growth and impact

Qualifications

• Bachelor's degree or equivalent practical experience in statistics, mathematics, economics, CS, engineering or related field.
• 7+ years of post-Bachelor’s experience in quantitative analysis and/or data science; or a Master’s degree +6+ years; or a PhD +3+ years.

Responsibilities

• Act as SME for key experimentation and causal inference methodologies.
• Lead medium to large projects across multiple groups and stakeholders.
• Architect, implement, and maintain scalable statistics, ML, and data products for internal tooling.
• Partner with product managers, engineers, and researchers to identify product opportunities and shape strategy.

Skills

Statistical analysis

Experimentation

Causal inference

Data storytelling

Project leadership

Education

Bachelor's degree in a quantitative field

Advanced degree preferred

Tools

SQL

Python

R

Job description

Snap Inc. seeks a Lead Data Scientist to act as the organization subject matter expert for experimentation and causal inference methodologies.

You will lead medium to large projects across multiple groups, architect scalable statistics, ML, and data products for internal tooling, and translate complex analyses into strategic business insights. You will collaborate with product, engineering, and research teams to identify new opportunities and shape product strategy, driving growth and impact