Data Scientist B2B Demand Generation Growth Measurement
Overview
We are seeking a Data Scientist to lead measurement experimentation and decision science for B2B demand generation. The role involves defining metrics scaling experiments and building AI-native workflows to drive revenue growth. This position requires deep expertise in causality and multi-touch attribution. The ideal candidate will partner with cross-functional teams to transform marketing data into actionable insights.
What You'll Do7
- 1Define north-star leading guardrail metrics for B2B demand generation including account engagement and incremental ARR
- 2Design and execute measurement strategies using randomized tests and causal approaches across channels
- 3Analyze channel audience campaign creative performance to identify demand drivers
- 4Partner with Marketing Sales RevOps Finance and Engineering to improve instrumentation and data quality
- 5Build AI-native decision support workflows leveraging LLMs and agents for scalable insights
- 6Translate analysis into marketing decisions focusing on channel audience and budget allocation
- 7Drive funnel improvements and revenue growth through evidence based recommendations
Requirements5
- 110+ years in quantitative roles with B2B demand gen or growth analytics experience
- 2Deep expertise in experimentation causal inference and incrementality testing
- 3Strong SQL and Python skills with experience analyzing marketing platform web analytics and CRM data
- 4Proven ability to prioritize initiatives using business judgment and cross-functional collaboration
- 5Understanding of B2B funnel mechanics account-based buying and attribution tradeoffs
Salary Insight
$293 - $385k per year
Location
Required Skills
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