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: 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.

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven. • Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. • Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe • Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers. • Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team • Contribute to broad data science initiatives as a member of Stripe’s data science management team.

• Lead projects and own processes for creating, validating and annotating data for use in LLM/ML applications • Design/improve workflows to create data for AI/ML training and evaluation • Dive deep into existing workflows and processes to gather data and insights • Work closely with client stakeholders on understanding goals, gathering requirements, proposing solutions, and executing them. • Contribute to establishing best practices and standards for generative AI development

• Lead long-term projects with high complexity and ambiguity from first discussion with the client to completion • Design/improve workflows to create data for AI/ML training and evaluation. • Design and refine search data annotation frameworks, including relevance judging guidelines • Dive deep into existing workflows and processes to gather data and insights, make recommendations, and drive improvement through innovation and cross-functional collaboration with customers • Assess and optimize search-specific evaluation approaches, including A/B testing frameworks, ranking metrics, and human evaluation studies for search result quality • Quantitatively analyze large datasets, perform statistical analysis, calculate metrics, and make recommendations to improve accuracy and performance. • Work closely with client stakeholders on understanding goals, gathering requirements, proposing solutions, and executing them. • Contribute to establishing best practices and standards for generative AI development with customers and within the organization