Data Scientist, GTM | YC-backed AI Startup | SF (In-Office)

One of the most ambitious YC-backed startups I work with is hiring a Data Scientist focused on Go-To-Market.

This is not a dashboard role. This is a revenue role.

You'll sit at the intersection of data, product, and growth, working directly with founders to turn raw signals into decisions that compound.

An entire Legacy industry is still human-led, slow, and opaque. This team is building a 90%+ AI-led distribution engine, making something mandatory, complex, and painful become fast and computational. When distribution becomes computational, markets expand. That's the bet here.

• Own analytics that directly power growth, sales, and marketing
• Build lead-scoring models using signals others don't have (conversation sentiment, engagement patterns, decision traces)
• Analyse thousands of AI-driven sales conversations to uncover what actually closes deals
• Build real multi-touch attribution across voice, email, web, and referrals
• Evaluate and improve AI agents based on real business outcomes
• Design and run experiments with statistical rigor that inform strategy, not just reporting

The line between analytics and product is intentionally thin.

• A full-stack data scientist who pulls their own data, builds models, and ships
• Experience with GTM problems: lead scoring, attribution, revenue analytics
• Strong experimental mindset (you care about causation, not vibes)
• Comfortable explaining insights to founders and non-technical stakeholders
• 2-5 years of experience - sharp, hands-on, and high-agency
• Short founder alignment call
• Technical deep dive (walk through real analysis you've done)
• On-site with the team and the data

Most data science roles are two steps removed from impact. This one isn't. Your work will shape strategy, power production systems, and move revenue.

If you're someone who proves things rather than narrates them, drop me a message or apply directly.