Data Scientist, B2B Demand Generation, Growth & Measurement

What you'll do

• Define demand-generation metrics and design experiments to measure incremental marketing impact.
• Analyze channel, campaign, audience, and account performance to identify drivers of qualified demand and revenue.
• Partner cross-functionally to improve marketing data and build AI-supported measurement and decision workflows.

What they ask for

• 10+ years in a quantitative role, with meaningful experience supporting B2B marketing, demand generation, pipeline growth, or enterprise and SMB go-to-market motions.
• Deep expertise in experimentation, causal inference, and applied statistics.
• Strong fluency in SQL and Python and experience analyzing marketing, web, product, CRM, account, opportunity, and revenue data.
• Ability to translate analysis into marketing decisions and communicate recommendations across functions.

Nice to have

• Hands-on experience using LLMs, agents, and modern AI tools.
• Strong understanding of B2B funnel mechanics, account-based buying journeys, and attribution tradeoffs.

Pay

$293K – $385K (USD) base salary; equity offered, amount not stated.

Tools

SQL, Python, LLMs

AI focus

Build AI-native measurement and decision-support workflows using LLMs and agents to synthesize campaign performance, surface growth opportunities, automate analysis, accelerate experimentation, and support marketers' decisions.