Data Scientist, Level 4 - Snap : Job Details

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's three core products are Snapchat ( a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (

The Data Science & 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 Data Scientist to join Snap Inc.

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.
• Drive informed and timely decision‑making that improves and optimizes the way our products are created, executed, and adopted.
• Collaborate with product managers, engineers, product marketers, and designers.

• Expertise using data modeling skills to identify key product trends and new product opportunities.
• Ability to design, implement, and track core metrics to analyze the performance of our products.
• Ability to create visuals, dashboards, and reports to effectively communicate your insights.
• Ability to collaborate with engineers, product managers, and other cross‑functional teams.
• Ability to initiate and drive projects to completion with minimal guidance.
• An understanding of Snapchat with great product sense and product understanding.

• Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience.
• 3+ years of post‑Bachelor's experience in quantitative analysis & data science; OR a Master's degree in a technical field + 2+ years of post‑graduate professional experience; OR a Ph.D. in a relevant technical field.

• 3+ years of Experience using SQL or similar big data querying languages.
• 3+ years of Experience with programming language, such as Python or R.
• 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques.
• Advanced degree in applied mathematics, statistics, actuarial science, economics or 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 building data‑driven product solutions or performing methodological research.

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information (

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.

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) : The base salary range for this position is $157,000-$235,000 annually.

Zone B : The base salary range for this position is $149,000-$223,000 annually.

Zone C : The base salary range for this position is $133,000-$200,000 annually.

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