Lead Data Scientist, Core, Level 6

Snap; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Snap Inc is seeking a Lead Data Scientist to join the Data Science and Insights team. You will act as SME for experimentation and causal inference, lead cross-functional projects, and build scalable data products for internal tooling.

You will translate complex statistics into strategic actions aligned with OKRs, guide senior stakeholders, and foster an inclusive, high-performance team environment.

Qualifications

• 7+ years of post-Bachelor's experience in quantitative analysis and/or data science.
• Masters or PhD with related field preferred
• Strong knowledge of Python or R and SQL
• Experience leading analytics projects and cross-functional collaboration

Responsibilities

• Act as organization subject matter expert for experimentation and causal inference.
• Lead medium to large data science projects across multiple groups.
• Architect and maintain scalable data products for internal tooling.
• Translate statistical concepts into strategic business decisions.
• Drive analytics roadmaps and insights sharing across the company.
• Collaborate with product managers, engineers, and researchers.

Skills

Statistics

Machine learning

Causal inference

Experimentation

SQL

Python

R

Data visualization

Communication

Project leadership

Education

Bachelor's in Statistics/Math/CS

Master's degree

PhD

Tools

SciPy

Statsmodels

EconML

Pandas

Airflow

SQL

Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

We're looking for a Lead Data Scientist to join Snap Inc.

What you'll do

• 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

Knowledge, Skills, Abilities:

• 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

Preferred qualifications

• 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

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