Data Scientist, Level 4

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 , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .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 decisionsDrive 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 designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum 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 experience3+ 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 languages3+ years of Experience with programming language, such as Python or R3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience 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 ."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).: 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 successCompensationIn 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.:The base salary range for this position is $157,000-$235,000 annually.: The base salary range for this position is $149,000-$223,000 annually.:The base salary range for this position is $133,000-$200,000 annually. This position is eligible for equity in the form of RSUs.