Data Scientist, Level 4

Position Overview

Snap Inc. is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. With products like Snapchat, Lens Studio, and Spectacles, Snap empowers users to express themselves and share experiences. The Data Science & Insights team leverages massive datasets to deliver objective, actionable insights that drive informed business and product decisions. We are seeking a Data Scientist to join our team and help shape our product strategies.

Key Responsibilities

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable insights.
• Drive informed and timely decision-making that optimizes product creation, execution, and adoption.
• Collaborate with product managers, engineers, product marketers, and designers to ensure data-driven strategies.

Required Qualifications

• Bachelor’s Degree in Statistics, Mathematics, Economics, Computer Science, Engineering or a related field, or equivalent practical experience.
• 3+ years of post-Bachelor's experience in quantitative analysis and data science; or an advanced degree with relevant experience.
• Expertise in data modeling, quantitative analysis, data mining, and statistical modeling techniques.
• Ability to design, implement, and track core metrics for analyzing product performance.
• Proficiency in creating visuals, dashboards, and reports to effectively communicate insights.
• Strong collaboration skills and a proven ability to drive projects to completion with minimal guidance.
• A strong understanding of Snapchat’s products with excellent product sense.

Preferred Qualifications

• 3+ years of experience using SQL or similar big data querying languages.
• 3+ years of experience with programming languages such as Python or R.
• 3+ years of experience with applied statistical techniques (inferential methods, causal methods, A/B testing, or statistical modeling).
• Advanced degree in Applied Mathematics, Statistics, Actuarial Science, Economics, or a related field.
• Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company.
• Experience using machine learning and statistical analysis for data-driven product solutions or methodological research.

Benefits & Perks

• Paid parental leave and comprehensive medical coverage.
• Emotional and mental health support programs.
• Compensation: Salary ranges vary by zone – Zone A (CA, WA, NYC): $157,000-$235,000 annually; Zone B: $149,000-$223,000 annually; Zone C: $133,000-$200,000 annually. This position is also eligible for equity in the form of RSUs.
• Join a diverse team committed to innovation, collaboration, and equal opportunity employment.