Data Scientist, Level 4

Snap Inc.

Quick summary

Work type: On-site
Location: Bellevue, WALos Angeles, CANew York, NYPalo Alto, CASan Francisco, CASeattle, WA
Salary: $157,000–$235,000 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $160k

This role $196k

$86k most similar roles pay here $251k

This role pays more than 76% of similar roles. Most pay $126,800–$192,718 — the shaded band above. At the midpoint, this role pays about $196k versus about $160k for comparable roles.

Based on 240 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 61 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 43 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Data Scientist, Level 4

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As a Data Scientist at Snap Inc., you will join the Data Science and Insights team, a senior-level position focusing on extracting actionable insights from large datasets to drive business value. Your daily responsibilities include applying quantitative analysis, data mining, and statistical modeling to inform product decisions, collaborating with cross-functional teams like product managers and engineers, and developing scalable data solutions using AI tools and high-velocity workflows. You will need expertise in SQL or similar big data querying languages, proficiency in Python or R, and experience with applied statistical techniques such as A/B testing and causal methods. The role requires a deep understanding of Snapchat’s products and an ability to adapt to evolving AI systems. This position offers the opportunity to work on cutting-edge projects at a leading social media company, contributing to data-driven decision-making and product optimization at scale.

Skills

Python R SQL AI Dashboards Visualizations Inferential_methods Causal_methods A/B_testing Statistical_modeling Machine_learning Snapchat_Product_Understanding

What you'll do

Apply quantitative analysis, data mining, and statistical modeling to deliver actionable insights for business decisions.
Develop scalable data solutions using AI tools and high-velocity workflows to accelerate decision-making.
Design and track core metrics to analyze product performance effectively.
Create visuals, dashboards, and reports to communicate data insights clearly.
Initiate and drive projects independently with minimal guidance.

What we're looking for

At least 3 years of post-Bachelor’s experience in quantitative analysis and data science.
Expertise in data modeling to identify key product trends and new opportunities.
Ability to design, implement, and track core metrics for product performance analysis.
Proficiency in creating visuals, dashboards, and reports to communicate insights effectively.
Experience collaborating with cross-functional teams including engineers, product managers, and designers.
Understanding of Snapchat products and a strong sense of product direction.

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