Data Scientist, GTM (AI)

TL;DR

Data Scientist, GTM (AI): Driving data-informed decisions across the commercial customer lifecycle with an accent on causal inference and measurement frameworks. Focus on optimizing new logo acquisition, expansion, and retention for a consumption-based AI platform.

Location: Must be based in the US and follow a hybrid policy (at least 25% office presence in New York City or San Francisco)

Salary: $275,000 - $370,000 USD

Company

hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

What you will do

• Define key metrics and build measurement frameworks to evaluate GTM success across segments and products.
• Apply rigorous causal inference methods, including controlled experiments and synthetic controls, to provide actionable recommendations.
• Build statistical models, optimization frameworks, and simulations to automate commercial decision-making.
• Analyze commercial and user data to surface insights and influence GTM strategy and product roadmaps.
• Present data-driven analyses and recommendations to GTM leadership and technical stakeholders.
• Establish foundational data practices and help scale analytics infrastructure for rapid iteration.

Requirements

• Proficiency in Python, SQL, and data visualization tools.
• Expertise in experimental design, causal inference, statistical modeling, and A/B testing.
• Ability to translate complex data into clear, actionable insights for business audiences.
• Strong written communication and presentation skills.
• Based in the US and ability to work hybridly in NYC or SF.

Nice to have

• 5+ years of experience in data science or analytics roles.
• Track record in B2B sales or commercial analytics with consumption-based revenue models.
• Experience with AI/ML products, LLMs, or developer tools in the AI ecosystem.

Culture & Benefits

• Competitive compensation and benefits with optional equity donation matching.
• Generous vacation and parental leave policies.
• Flexible working hours and collaborative office environments.
• Visa sponsorship availability for qualified candidates.