Snap Inc

Senior Data Scientist, Level 5

Snap Inc$190K — $284K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a relevant technical field or equivalent experience
  • 5+ years of quantitative analysis and data science experience, or advanced degrees with less experience
  • Expertise in data modeling, trend identification, and metric tracking
  • Experience using SQL or similar querying languages
  • Proficiency in programming languages like Python or R
  • Knowledge of applied statistical techniques and methods
  • Strong communication skills for translating complex analyses into actionable insights.

Responsibilities

  • Deliver actionable data insights through quantitative analysis and statistical modeling
  • Drive decision-making to enhance product creation and adoption
  • Collaborate across teams including product managers and engineers
  • Identify new data opportunities aligned with Snap's long-term goals
  • Conduct machine learning analyses and build scalable solutions
  • Communicate best practices in quantitative analysis across teams
  • Utilize AI tools to improve data workflows and maintain high data quality standards.

Benefits

  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that allow sharing in Snap's long-term success
Full Job Description
We\'re looking for a Senior Data Scientist to join Snap Inc.!

What you\'ll do:
  • 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
  • Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap\'s long term roadmap for data-scientific contributions
  • Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
  • Communicate best practices in quantitative analysis and develop cross-functional partnerships
  • Utilize AI tools and high-velocity analytical workflows to develop scalable data solutions, generate actionable insights, and accelerate decision-making while maintaining rigorous standards for accuracy, methodological integrity, data quality, and operational excellence.


Knowledge, Skills and Abilities:
  • 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
  • Experience collaborating 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
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices.


Minimum Qualifications:
  • 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
  • 5+ years of post-Bachelor\'s quantitative analysis and data science experience ; or a Master\'s degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience


Preferred Qualifications:
  • 5+ years of experience using SQL or similar big data querying languages
  • 5+ years of experience with programming language, such as Python or R
  • 5+ 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.


Our Benefits: Snap Inc. is its own community, so we\'ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap\'s long-term success!

Compensation

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 $190,000-$284,000 annually.

Zone B:
The base salary range for this position is $181,000-$270,000 annually.

Zone C:
The base salary range for this position is $162,000-$241,000 annually.

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

About Snap Inc

Snap Inc. is a camera and social media company. It was founded in 2011 by Evan Spiegel, Bobby Murphy, and Reggie Brown. The company is known for its Snapchat app, which allows users to send photos and videos that disappear after being viewed. Snap Inc. is headquartered in Santa Monica, California and has offices around the world. The company went public in 2017 and is listed on the New York Stock Exchange.
Learn more about Snap Inc
Size
5,661 employees
Market Cap
$13.9 billion
Industry
Net Income
-$944.8 million
Founded
2016
5 Year Trend
+59.1%
Revenue
$2.5 billion
NASDAQ

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