Lead Data Scientist - Causal Inference & ML Strategy

Snap Inc.; Seattle (WA); In loco; USD 229.000 - 343.000; Tempo pieno

Vantaggi offerti da questo lavoro

RSUs equity

Medical coverage

Parental leave

Mental health support

Descrizione del lavoro

Snap Inc. in Seattle is looking for a Lead Data Scientist to drive experimentation, causal inference, and scalable data products that inform product strategy and company OKRs.

You will lead cross-functional initiatives with product, engineering, and research, translate complex analyses into actionable insights, and mentor a team to maintain high standards of accuracy and innovation in data-driven decisionmaking.

Competenze

• Bachelor’s degree or higher in statistics, math, economics, CS, engineering or related field.
• 7+ years in quantitative analysis and/or data science; or 6+ years with a Master’s; or 3+ years with a PhD.
• Strong ability to translate data into strategic insights and business value.

Mansioni

• Act as subject matter expert for experimentation and causal inference.
• Lead large projects across multiple groups and stakeholders.
• Architect and maintain scalable stats, ML, and data products.
• Translate complex analyses into strategic actions aligned with OKRs.
• Foster an inclusive and high-performing team environment.
• Collaborate with product, engineering, and research to shape strategy.
• Analyze data sources, test hypotheses, and provide business context.
• Deliver regular insights share-outs and data-driven decision support.
• Guide data-driven roadmap and maintain accurate reporting.
• Provide strategic direction and ensure quality and innovation.

Conoscenze

Statistics & ML

Causal inference

Predictive modeling

Machine learning

Data orchestration

SQL

Python

R

Communication

Project management

Cross-functional collab

Formazione

Bachelor’s in quantitative field

Master’s in quantitative field

PhD in related field

Strumenti

SciPy

StatsModels

EconML

R ecosystems

Descrizione del lavoro

Snap Inc. in Seattle is looking for a Lead Data Scientist to drive experimentation, causal inference, and scalable data products that inform product strategy and company OKRs.

You will lead cross-functional initiatives with product, engineering, and research, translate complex analyses into actionable insights, and mentor a team to maintain high standards of accuracy and innovation in data-driven decisionmaking.