Senior Data Scientist, Core, Level 5

Snap Inc.

Quick summary

Work type
On-site
Location
Bellevue, WALos Angeles, CANew York, NYPalo Alto, CASan Francisco, CASeattle, WA
Salary
$190,000–$284,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $237k
$92k most similar roles pay here $305k

This role pays more than 94% of similar roles. Most pay $126,800–$196,370 — the shaded band above. At the midpoint, this role pays about $237k versus about $162k 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 · Senior Data Scientist, Core, Level 5

Role Posting Log in to save

As a Senior Data Scientist at Snap Inc., you will join the Data Science and Insights team, contributing to data-driven decision-making by leveraging massive datasets. Your daily responsibilities include conducting quantitative analysis, statistical modeling, and machine learning to deliver actionable insights that enhance product development and customer understanding. You’ll collaborate closely with cross-functional teams such as product managers, engineers, and designers to drive informed business decisions and optimize product performance. Key skills required are expertise in Python or R, SQL for big data querying, and experience with applied statistical techniques like A/B testing. With a focus on Snapchat’s long-term roadmap, you will develop scalable solutions using AI tools while maintaining rigorous standards for accuracy and operational excellence.

Skills

Python R SQL Machine Learning Statistical Modeling A/B Testing Inferential Statistics Causal Inference Data Visualization Dashboards Cross-Functional Collaboration AI Tools High-Velocity Analytical Workflows CI/CD

What you'll do

  • Apply quantitative analysis, data mining, and statistical modeling to deliver actionable insights for business decisions.
  • Conduct machine learning analyses to build scalable solutions that optimize product performance and decision-making speed.
  • Identify new opportunities within Snap's long-term roadmap using data-scientific methods and creative thinking.
  • Design and implement core metrics tracking systems to analyze the performance of products effectively.
  • Communicate complex quantitative analysis clearly through visuals, dashboards, and reports for cross-functional teams.

What we're looking for

  • At least 5 years of post-Bachelor’s quantitative analysis and data science experience.
  • Expertise in statistical modeling, machine learning, and A/B testing.
  • Strong ability to communicate complex quantitative analyses clearly.
  • Experience with SQL or similar big data querying languages.
  • Proficiency in programming languages such as Python or R.
  • Ability to collaborate effectively across cross-functional teams.

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