Lead Data Scientist - Causal Inference, ML & Insights

SNAP, Inc.; Palo Alto (CA); On-site; USD 195,000 - 343,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support

Job summary

Snap Inc. is seeking a Lead Data Scientist in California to act as the subject matter expert for experimentation and causal inference, leading major data projects and building scalable data products.

You will translate complex statistics into strategic actions that align with company OKRs and influence executive decisions. You’ll work with product, engineering, and research teams to uncover product opportunities, drive insights, and maintain rigorous data science standards in a fast-paced

Qualifications

• Bachelor's or higher in statistics, mathematics, economics, CS, engineering or related field
• 7+ years of post-Bachelor's experience in quantitative analysis and/or data science; or 6+ with a Master's; or 3+ with a PhD
• Experience with causal inference modeling, A/B testing at scale is preferred

Responsibilities

• Act as SME for experimentation and causal inference methodologies
• Lead medium to large projects across multiple groups
• Architect and maintain scalable data science products for internal tooling
• Translate statistical concepts into strategic initiatives aligned with OKRs and executive decision-making
• Collaborate with product, engineering, and research teams to identify product opportunities and shape strategy
• Deliver regular insights share-outs to inform the organization

Skills

Statistical analysis

Machine learning

Experimentation/causal inference

Data orchestration

SQL

Python

R

Communication

Project leadership

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

PhD in a related field

Tools

Python (SciPy/StatsModels/EconML)

R

SQL

Job description

Snap Inc. is seeking a Lead Data Scientist in California to act as the subject matter expert for experimentation and causal inference, leading major data projects and building scalable data products.

You will translate complex statistics into strategic actions that align with company OKRs and influence executive decisions. You’ll work with product, engineering, and research teams to uncover product opportunities, drive insights, and maintain rigorous data science standards in a fast-paced