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Snap Inc.

Data Scientist, Level 4

Reposted 3 Hours Ago
Remote or Hybrid
5 Locations
133K-235K Annually
Mid level
Remote or Hybrid
5 Locations
133K-235K Annually
Mid level
The Data Scientist at Snap Inc. applies quantitative analysis, data mining, and statistical modeling to deliver actionable insights, driving informed decision-making and optimizing product performance.
The summary above was generated by AI

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

 

The Data Science & 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

Knowledge, Skills & 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

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.

 

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

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.

Top Skills

Python
R
SQL

Snap Inc. New York, New York, USA Office

Snap NYC is in the heart of Times Square in the former New York Times office building!

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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