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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced statistical analysis, machine learning, and data orchestration, 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 innovation and quality in data solutions.
Highest-signal resume keywords
Advanced Statistical AnalysisMachine Learning ExpertiseData Orchestration PipelinesPython or R ProficiencyQuantitative Analysis Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisPredictive ModelingCausal Inference MethodsData ScienceSQLPython Libraries (SciPy, Stats Models, EconML)A/B TestingData VisualizationData Product DevelopmentAnalytics Reporting
Soft Skills
Excellent CommunicationAttention to DetailProject ManagementAdaptabilityTeam Leadership
Tools & Technologies
AI ToolsComputational PackagesData Analytics ToolsData Visualization SoftwareStatistical Software
Industry Keywords
Digital MediaOnline AdvertisingSocial MediaMobile TechnologyCross-Functional Collaboration
Tech Stack
Tools & technologiesPythonSQL
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
- Architect, implement, and maintain scalable statistics, ML, and data products for internal tooling
- Translate complex statistical concepts into strategic approaches aligned with organizational 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 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 and accurate, timely 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