Senior Marketing Scientist, Level 4
Snap Inc.
- Location
- Los Angeles California
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 84 approvals (FY2023)
- Posted
- 2h ago
Skills
About this role
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 Marketing Science team at Snap helps advertisers get the highest possible ROI from Snap’s ads platform by using advanced measurement and analytics. We equip our Sales teams with what they need to be quantitatively driven, consultative partners to advertisers through training, tooling, and measurement best practices, and partner closely with Product, Engineering, Strategy, and Sales to ensure Snap’s ad products are effective, efficient, and customer‑centric. We’re looking for a Senior Marketing Scientist to join our Marketing Science team at Snap Inc! What you’ll do: Be the primary driver of performance improvement across key measurement solutions, strategic partners, and top advertisers through a mix of learning agenda development, measurement strategy, experimental design, causal analytics, and ads efficacy solution prototyping Lead measurement, research, and learning plans for key clients, partners, and solutions in support of advertiser objectives, Snap’s business goals, and the long-term growth of the ads business Develop strategy, prioritization, and roadmaps for ads measurement and insights products across assigned solutions, partners, industries, or verticals Work closely with Product, Engineering, Data Science, and R&D teams to identify, prototype, validate, and scale new measurement solutions and capabilities for the broader Marketing Science organization Lead the scoping and development of custom multi-study meta-analyses in partnership with Data Science, R&D, and external partners to understand the relative impact of different marketing strategies across digital platforms and media Build measurement capabilities, performance guidance, and advocacy across verticals, strategic partners, advertisers, cross-functional teams, and the broader industry Partner with Sales teams to deliver actionable insights, consultative recommendations, and measurement best practices that improve advertiser performance and strengthen client relationships Contribute to thought leadership initiatives that establish Snap’s perspective on measurement, attribution, and advertising effectiveness within the industry Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity. Knowledge, Skills & Abilities: Ability to structure and conduct analyses to generate insight and recommendations Clear and concise communication; comfortable with presenting insights and recommendations to senior stakeholders Understanding of measurement concepts, solutions, and underlying statistical fundamentals leveraged in the ads efficacy and measurement ecosystem Subject matter expertise in at least one of the following areas: conversion lift, brand lift, or econometrics modeling Understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data-mining techniques Proficiency with advanced analytical tools (e.g. SQL, R, SAS) Access, analyze, interpret, and communicate ads performance insights using a wide range of standard data science tooling Understanding of the vertical needs and ability to creatively apply measurement solutions and insights in a way that improves advertiser performance and the value proposition of Snap A strong understanding of Snapchat and the digital advertising and measurement ecosystem Adaptability in learning and applying evolving AI systems and