Senior Data Scientist Level 5

Snap Inc.

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
BellevueLos Angeles, CANew York, NYPalo Alto, CASan Francisco, CASeattle, WA
Salary
$190,000–$284,000 / yr
Posted
52 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k
This role $237k
$77k most similar roles pay here $306k

This role pays more than 95% of similar roles. Most pay $126,800–$184,900 — the shaded band above. At the midpoint, this role pays about $237k 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 76 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 58 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Senior Data Scientist Level 5

Senior Data Scientist, Level 5 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 build pragmatic, scalable solutions for accurate predictions and perform methodological research while collaborating with cross-functional teams including engineers and designers. Key technical requirements include proficiency in SQL, Python or R, and applied statistical techniques such as A/B testing, causal methods, and inferential modeling. Additionally, the role requires using AI tools to develop data solutions and creating dashboards to communicate complex findings. The work focuses on solving product-related challenges within a social media and mobile technology environment to improve decision-making quality and speed across the organization.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Apply quantitative analysis, data mining, and statistical modeling to deliver actionable insights for product decisions.
  • Build pragmatic, scalable, and statistically rigorous machine learning solutions to provide accurate predictions and optimizations.
  • Design, implement, and track core metrics to analyze the performance of products.
  • Create visuals, dashboards, and reports to communicate complex quantitative findings in a clear and precise manner.
  • Identify and size up new opportunities within the long-term roadmap for data-scientific contributions.
  • Utilize AI tools to develop scalable data solutions while maintaining high standards for accuracy and integrity.
  • Lead projects from initiation to completion with minimal guidance.

What we're looking for

  • Bachelor's degree in a technical field like statistics, math, economics, computer science, or engineering.
  • 5+ years of post-Bachelor’s experience in quantitative analysis and data science.
  • 4+ years of post-Master’s experience in quantitative analysis and data science for candidates with a Master's degree.
  • 1+ year of post-PhD experience in quantitative analysis and data science for candidates with a PhD.
  • 5+ years of experience using SQL or similar big data querying languages.
  • 5+ years of experience with programming languages such as Python or R.
  • 5+ years of experience with applied statistical techniques including inferential methods, causal methods, A/B testing, and modeling.
  • Experience using machine learning and statistical analysis to build data-driven product solutions or perform methodological research.

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