Snap Inc

Data Scientist, Level 4

Snap Inc$157K — $235K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a technical field or equivalent experience
  • 3+ years of experience in quantitative analysis and data science
  • Expertise in SQL or similar big data querying languages
  • Proficiency in Python or R programming
  • Strong background in applied statistical techniques including A/B testing and statistical modeling
  • Familiarity with machine learning techniques for product solutions
  • Experience in product-focused roles within social media or digital media sectors

Responsibilities

  • Apply quantitative analysis and statistical modeling to derive actionable insights
  • Drive data-informed decision-making to enhance product creation and adoption
  • Collaborate across teams including product managers, engineers, and marketers
  • Utilize AI tools for developing scalable data solutions while ensuring accuracy
  • Design and track core metrics to evaluate product performance
  • Create effective visuals and dashboards to communicate insights
  • Initiate and lead projects independently with minimal oversight

Benefits

  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages linked to Snap's long-term success
Full Job Description
The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

We're looking for a 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
  • Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.


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
  • Ability to collaborate 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
  • 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
  • 3+ years of post-Bachelor's experience in quantitative analysis and data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.


Preferred Qualifications:
  • 3+ years of Experience using SQL or similar big data querying languages
  • 3+ years of Experience with programming language, such as Python or R
  • 3+ 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 $157,000-$235,000 annually.

Zone B:
The base salary range for this position is $149,000-$223,000 annually.

Zone C:
The base salary range for this position is $133,000-$200,000 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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