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. We’re looking for a Sr. 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 - 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. 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 $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.

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. 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. 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.

• Defining the product vision and strategy for your team • Collaborating closely with our forward-deployed engineering teams as well as technical partners to deeply understand the product experience • Identifying and prioritizing product investments based on user needs and business goals • Partnering with engineering and technical leadership to define your team’s roadmap • Driving execution of the team's work in close collaboration with technical leadership • Representing your product internally and externally with executive stakeholders, technical partners and customers • Articulating customer value and benefits of your team’s offering and help position it within an evolving market landscape

• Provide technical expertise in all aspects of Data Management • Manage timelines for study data deliveries, including Go-Live, Interim Deliveries, and Final DB Lock • Collaborate with relevant functions (Clinical, Biostatistics, Database Programming, Medical, Medical Writing etc.) across all geographies • Act as a single point of contact for contracted Data Management deliverables to ensure timeliness and quality • Mentor ADMs or other DM peers • Manage and coordinate the integration and utilization of all ancillary systems • Define mitigations and drive to resolution with cross-functional stakeholders as part of Risk Management Plan • Review and analyze metrics to derive meaningful summary of study health and trends • Prepare for and participate in audits and inspections for internal, sponsor, and regulatory agencies • Collaborate with Delivery Lead and/or line management to ensure appropriate project level resourcing of staff • Deliver Project Specific Training to internal DM team