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Job description
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 operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
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.
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 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
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
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.
Equal Opportunity Statement
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).
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.
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Worksite address
los angeles, CA, 90079, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.