Staff Marketing Scientist
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Marketing
- Posted
Skills
Must have
- Bachelor’s degree in a relevant quantitative or business field, or equivalent years of practical work experience
- 8+ years of post-Bachelor’s experience in advanced analytics and measurement; or a Master’s degree in a quantitative or business field plus 7+ years of post-graduate experience in advanced analytics a
- Experience in marketing science, product strategy, advertising measurement, or a related field within a technology company, media agency, consulting firm, advertiser, or research company
Nice to have
- Advanced degree in business, mathematics, economics, engineering, or a related field
- Deep understanding of the digital advertising and measurement ecosystem across Brand and Direct Response measurement
- Extensive experience working directly with both large and small advertisers across vertical-specific domains and Brand and Direct Response measurement
- Extensive direct experience working at an advertising measurement company or with third-party measurement providers
- Experience driving cross-functional influence, mentoring peers, and developing organizational measurement capabilities
- Self-starter who is equally comfortable presenting to C-level executives and working hands-on by writing queries and code
- Proven track record of building, managing, and influencing senior client, agency, and partner relationships
Full 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 Marketing Science team at Snap helps advertisers maximize ROI from Snap’s advertising platform through advanced measurement and analytics. We equip our Sales teams with the tools, insights, and capabilities they need to make data-driven decisions; serve as consultative partners to advertisers through training, tooling, and measurement best practices; and partner closely with Product, Engineering, Strategy, and Sales to ensure Snap’s advertising products are effective, efficient, and customer-centric.
We’re looking for a Staff Marketing Scientist to join Snap Inc.!
What You’ll Do**
- Own the measurement strategy, operations, goals, and learning plans for Snap’s strategic measurement solutions and third-party (3P) partners
- Drive performance improvement across these solutions through learning agenda development, experimental design, causal analytics, and ads efficacy solution prototyping
- Build measurement fluency across Marketing Science, Sales, Product, Product Marketing, Partnerships, and other cross-functional teams; influence roadmap priorities and adoption without direct authority
- Serve as a strategic advisor to senior executives at 3P measurement partners and agencies, strengthening Snap’s collaboration with key measurement partners
- Drive external thought leadership through white papers, conference presentations, industry committees, and compelling narratives on measurement, ads efficacy, and Snap-specific analytics
- Lead meta-analyses, performance benchmarking, and playbook development to scale learnings and performance proof points across markets, verticals, and advertisers
- Establish operational excellence for third-party measurement, including solution evaluation, adoption, tracking, and governance
- Contribute to quarterly partner business reviews and product planning by highlighting trends, progress against goals, and opportunities for innovation in measurement and analytics
- Use data and insights to identify innovation opportunities, make go/no-go recommendations, and guide strategic measurement decisions
- Leverage AI tools to develop scalable data and analytics solutions more efficiently while maintaining rigorous standards for accuracy, statistical integrity, and analytical quality