Snap
Senior Marketing Scientist, Level 4
$133K–$235K
Los Angeles, California +2 · Senior · Full-time · Posted Sep 25, 2026
- Location
- Los Angeles, California
San Francisco, California
New York, New York - Experience
- 5+ years post-Bachelor’s; or Master’s degree plus 4 years post-graduate; or relevant PhD plus 1 year post-graduate.
- Education
- Bachelor’s degree in a quantitative or business field, or equivalent years of practical work experience.
About the job
Leads advertising measurement and analytics initiatives to improve advertiser performance and develop scalable measurement solutions for Snap’s ads business.
What you'll do
- Lead measurement strategies, research plans, experiments, causal analyses, and custom meta-analyses for advertisers and partners.
- Develop roadmaps for ads measurement and insights products, collaborating with Product, Engineering, Data Science, and R&D to prototype and scale capabilities.
- Advise Sales teams and advertisers with actionable insights and measurement best practices; contribute to industry thought leadership.
What they ask for
- Bachelor’s degree in a quantitative or business field, or equivalent years of practical work experience.
- Advanced analytics and measurement experience: 5+ years post-Bachelor’s; or a Master’s degree in a quantitative or business field plus 4 years post-graduate; or a relevant quantitative or business PhD plus 1 year post-graduate.
- Experience in marketing science, product strategy, ads measurement, or a related field within technology, media agency, consulting, advertiser, or research settings.
- Expertise in conversion lift, brand lift, or econometrics modeling; proficiency with advanced analytical tools such as SQL, R, or SAS.
Nice to have
- Advanced degree in business, math, economics, engineering, or a related field.
- Direct experience with top performance or brand advertisers, specified industry verticals, or building client or partner relationships.
Pay
$157,000-$235,000 annually (USD, base salary); $149,000-$223,000 annually (USD, base salary); $133,000-$200,000 annually (USD, base salary)
Tools
SQL, R, SAS
AI focus
Use AI tools to develop scalable data solutions efficiently while maintaining accuracy and statistical integrity; adapt to evolving AI systems for data-driven decision-making and insight generation.
Model-written summary · the original posting is authoritative