Lead Data Scientist, Core, Level 6

SNAP, Inc.; Los Angeles (CA); On-site; USD 229,000 - 343,000; Full time

Benefits offered by this job

RSU equity

Job summary

Snap Inc. seeks a senior data scientist to act as the organization SME for experimentation, causal inference, and scalable data products. You will guide analytics initiatives and collaborate with product, engineering, and research teams to uncover opportunities that shape strategy.

Lead complex projects, translate advanced statistics into actionable business insights, and maintain rigorous standards while fostering an inclusive, high‑performing team culture.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 7+ years in quantitative analysis or data science; or 6+ with a Master's; or 3+ with a PhD.

Responsibilities

• Act as the organization SME for experimentation and causal inference methodologies.
• Lead cross‑group projects across the organization.
• Architect and maintain scalable data products and analytics tools.
• Translate statistical concepts into strategic business decisions for OKRs.

Skills

Statistical analysis

Causal inference

SQL

Python

Communication

Project leadership

Experimentation

AI tooling

Education

Bachelor's degree in Statistics

Tools

SciPy

statsmodels

EconML

Pandas

Job description

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

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform) .

Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits (http://careers.snap.com/benefits) : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long‑term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC) (https://careers.snap.com/us-payzones) :

The base salary range for this position is $229,000-$343,000 annually.

Zone B (https://careers.snap.com/us-payzones) :

The base salary range for this position is $218,000-$326,000 annually.

Zone C (https://careers.snap.com/us-payzones) :

The base salary range for this position is $195,000-$292,000 annually.

This position is eligible for equity in the form of RSUs.

Curious what it's like to work at Snap? Meet the people behind our products and discover how our values shape the way we create, innovate, and connect.

SPECS (https://www.specs.com/) : See how Snap is bringing computing into the world around us with SPECS, our next‑generation augmented reality glasses built for real life.

Snap News (https://newsroom.snap.com/) : Explore the latest stories about our products, innovation, and the people shaping what's next at Snap.

Applicant and Candidate Privacy Policy (https://careers.snap.com/privacy-policy)