Senior Data Scientist, Marketing
D
DescriptAI-powered editing tool
US or based in the SF Bay AreaFull-TimeSenior
Salary170000 - 208000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLArtificial IntelligenceR
Requirements
- Extreme ownership and resourcefulness
- Deep understanding of ads platforms (Meta, Google, Microsoft)
- Experience with 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
- Proven success working with both product-led growth funnels and sales-led GTM motions
- 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
- Bachelor's or Master's degree in a relevant field (e.g. computer science, mathematics, statistics, etc.)
- 5+ years of experience in a data scientist or related role
- Proficient in SQL
- Proficient in at least one programming language such as Python or R
Responsibilities
- Define and Evolve Marketing Measurement
- 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
- Build Core Dashboards & Reporting
- Own the creation and ongoing refinement of marketing dashboards
- Ensure clear, automated, and actionable reporting on acquisition, retention, and monetization
- Lead Modeling & Forecasting Initiatives
- Create models to score leads based on their likelihood to convert
- Build models to forecast campaign performance and support monthly budget allocation
- Develop recommendation systems that leverage user behavior data to suggest optimal channel mix and budget allocation
- Be a Strategic Partner
- Collaborate with Marketing, Sales, Product, and Analytics Engineering to ensure data quality, interpretability, and usability
- Champion high standards for experimentation, measurement, and statistical rigor across the org
- Proactively identify trends, patterns, and opportunities through data to improve day-to-day operations and drive user acquisition, activation, and retention
View Full Description & ApplyYou'll be redirected to the employer's site
