Descript is looking for a Marketing Data Scientist to architect their measurement framework, optimize performance across full-funnel marketing, and enable smarter business decisions through data to scale their marketing engine across B2C and B2B growth motions.
Requirements
- Deep understanding of ads platforms (Meta, Google, Microsoft), data enrichment, and reverse ETL process through a CDP such as Segment or Census.
- Strong working knowledge of incrementality testing, randomized controlled experiments and quasi-experiments.
- Experience with building in-house attribution models
- Experience with AI tools and frameworks for marketing analytics and optimization
- Familiarity with LLMs and how they can be leveraged to enhance marketing insights
- Understanding of how to build and deploy AI-powered prediction models for user behavior and conversion
- Proficient in SQL and at least one programming language such as Python or R.
Responsibilities
- Develop channel specific CAC targets accounting for audience intent and funnel stage
- Iterate and improve attribution models, while navigating platform-reported limitations and first-party data availability
- Drive incrementality measurement, partnering with the performance marketing team to design and run in-house conversion lift experiments
- Design and build AI-powered tools that automate routine marketing analyses and surface actionable insights
- Own the creation and ongoing refinement of marketing dashboards
- Create models to score leads based on their likelihood to convert, helping sales and marketing teams prioritize high-value prospects
- Build models to forecast campaign performance and support monthly budget allocation
Other
- Extreme ownership and resourcefulness to get things done.
- Proven success working with both product-led growth funnels and sales-led GTM motions.
- 5+ years of experience in a data scientist or related role.
- This role can be remote in the US or based in the SF Bay Area.
- We're looking to hire people who are local and able to join us at the office when needed.
