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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist, Core, Level 6 - **Company:** Snap Inc. - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Salary:** $195,000.0 - $343,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, SciPy, SQL Databases, Information Technology - **Published:** September 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=91cfba02328f1053 ## About the Role * 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 ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)