Data Scientist Level III

Snap Inc.

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bellevue, WALos Angeles, CANew York, NYPalo Alto, CASan Francisco, CASeattle, WA
Salary
$118,000–$176,000 / yr
Posted
1 day ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $147k
$94k most similar roles pay here $217k

This role pays less than 61% of similar roles. Most pay $126,800–$184,912 — the shaded band above. At the midpoint, this role pays about $147k versus about $156k 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 91 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 80 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Data Scientist Level III

Data Scientist, Level 3 joins the Data Science and Insights team to transform massive datasets into actionable insights that drive business value. This role involves performing quantitative analysis, data mining, and statistical modeling to inform product decisions and optimize how products are created and adopted. The successful candidate will collaborate with cross-functional teams including engineers, designers, and product managers to identify trends and develop scalable solutions. Key responsibilities include designing core metrics, creating dashboards, and utilizing AI tools while maintaining rigorous standards for accuracy. Required skills include proficiency in SQL or big data querying languages, programming in Python or R, and applied statistical techniques such as A/B testing and causal methods. The role focuses on solving product-related challenges within the social media and mobile technology space to improve decision-making quality and speed across the organization.

What does a Data Scientist earn in California?

Median $214000 from 95 postings across 33 companies.

See salary data

What you'll do

  • Perform quantitative analysis, data mining, and statistical modeling to provide actionable insights for product decisions.
  • Identify key product trends and new opportunities through advanced data modeling.
  • Design, implement, and track core metrics to evaluate product performance.
  • Create visuals, dashboards, and reports to communicate complex findings effectively.
  • Utilize AI tools to develop scalable data solutions while maintaining high standards for accuracy.
  • Lead projects from inception to completion with minimal guidance.
  • Apply inferential methods, causal analysis, and A/B testing to drive evidence-based decision-making.

What we're looking for

  • Bachelor's degree in a relevant technical field or equivalent years of practical work experience.
  • 1+ years of post-Bachelor’s quantitative analysis and data science experience, or a Master's degree in a technical field.
  • Experience using SQL or similar big data querying languages (preferred).
  • Experience with programming languages such as Python or R (preferred).
  • Experience with applied statistical techniques including inferential methods, causal methods, A/B testing, or modeling (preferred).
  • Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field (preferred).
  • Experience in a product-focused role at a social media, online advertising, digital media, or mobile technology company (preferred).
  • Experience using machine learning and statistical analysis for building data-driven solutions or performing research (preferred).

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