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# Lead Data Scientist, Core, Level 6

- **Company:** Snap Inc.
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Salary:** $229,000 - $343,000
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Data Files, Python (Programming Language), Machine Learning, SciPy, SQL Databases, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-data-scientist-core-level-6-los-angeles-ca--cca52d1f-5be5-4660-8387-dda0d35c6752

## About the Role

Data Science, Analysis Skills, Data Sets, Data Science, Statistics, Machine Tool, Cross-Functional, Product Strategy, Problem Solving Skills, Sales Prospecting, * Deep understanding of advanced statistical analysis, including expertise with modern computational packages (such as the Python libraries SciPy, stats models, and EconML, or equivalent R ecosystems)

 * Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance
 * Strong knowledge of predictive modeling, machine learning, and experimentation/causal inference methods
 * Expertise in data orchestration pipelines
 * Expertise in SQL and advanced proficiency with Python or R
 * Excellent communication skills, with high attention to detail
 * Ability to initiate and drive projects to completion with minimal guidance
 * Ability to balance practical business needs and scientific rigor
 * Display a track record of driving end-to-end adoption through cycles of stakeholder feedback and product iteration
 * Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices

Minimum Requirements

 * Bachelor's Degree in a relevant technical or quantitative field such as statistics, mathematics, economics, computer science, engineering or a related field or equivalent years of practical work experience
 * 7+ years of post-Bachelor's experience in quantitative analysis and/or data science; or a Master's degree in a relevant field + 6+ years of post-grad experience in quantitative analysis and/or data science; or a PhD in a related field + 3+ years of post-grad experience in quantitative analysis and/or data science, * Advanced degree in a quantitative or technical field (Economics, Statistics, Mathematics, Computer Science, Physics)
 * Experience leading a team responsible for data capture, measurement, and optimization
 * Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc.
 * Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
 * Experience with causal inference modeling, advanced statistical methods, and A/B testing at scale

## Description

* Act as the organization subject matter expert for key experimentation and causal inference methodologies
 * Lead medium to large projects encompassing multiple groups and stakeholders across the organization
 * Architect, implement, and maintain scalable, sustained statistics, ML, and data products for internal tooling
 * Translate complex statistical concepts into strategic approaches that directly align with organization OKRs and influence executive decision-making
 * Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best.
 * Work cross-functionally and partner with product managers, engineers, and researchers to solve problems, and conduct analytics studies to identify new product opportunities and shape product strategy
 * Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means
 * Lead the development and implementation of regular insights share-outs that drive the consumer voice throughout the organization
 * Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement
 * Provide strategic direction, project clarity, methodological consultation and deliver results
 * Drive and maintain a culture of quality, innovation and experimentation
 * Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity