Lead Data Scientist, Core

Snap Inc.

. Act as the organization subject matter expert for key experimentation and causal inference methodologies .

Posted 9/19/2026full-timeUnited StatesSenior💰 $229,000 - $343,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced statistical analysis, machine learning, and causal inference methodologies, with a strong ability to translate complex data insights into strategic business decisions. Proven track record in leading cross-functional projects and fostering a collaborative team environment while driving data-driven growth and performance.

Highest-signal resume keywords

Advanced Statistical AnalysisMachine Learning ExpertisePython and R ProficiencyData Orchestration PipelinesPredictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisCausal Inference MethodsData SciencePredictive ModelingStatistical IntegrityA/B TestingData CaptureMeasurementOptimizationExperimentation

Soft Skills

Excellent CommunicationAttention to DetailProject ManagementAdaptabilityTeam Leadership

Tools & Technologies

Python LibrariesSciPyStats ModelsEconMLSQLAI Tools

Certifications & Qualifications

Bachelor's Degree in Relevant FieldMaster's Degree in Relevant FieldPhD in Relevant Field

Industry Keywords

Data ScienceDigital MediaOnline AdvertisingSocial MediaMobile Technology

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 aligned with organization OKRs and influence executive decision-making
Establish a positive, mutually supporting, inclusive and fun team environment
Work cross-functionally with product managers, engineers, and researchers to solve problems and conduct analytics studies
Conduct in-depth analysis of all data sources, test hypotheses, identify patterns, and provide business context
Lead regular insights share-outs that drive the consumer voice throughout the organization
Deliver on the data science and analytics roadmap, including continuous improvement, reporting, and measurement
Provide strategic direction, project clarity, methodological consultation, and results
Drive and maintain a culture of quality, innovation, and experimentation
Utilize AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity

Requirements

What you’ll need

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; or a PhD in a related field + 3+ years of post-grad experience
Deep understanding of advanced statistical analysis
Expertise with modern computational packages such as Python libraries SciPy, stats models, and EconML, or equivalent R ecosystems
Proven track record 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
Track record of driving end-to-end adoption through stakeholder feedback and product iteration
Adaptability in learning and applying evolving AI systems and tools
Preferred: advanced degree in a quantitative or technical field
Preferred: experience leading a team responsible for data capture, measurement, and optimization
Preferred: experience forming partnerships with cross-functional leaders
Preferred: product-focused experience at a social media, online advertising, digital media and/or mobile technology company
Preferred: experience with causal inference modeling, advanced statistical methods, and A/B testing at scale

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages that let employees share in Snap’s long-term success
Equity in the form of RSUs