Staff Data Scientist, GTM (AI/ML)

Location: US-CA-Menlo Park

Salary: $184,000–$264,500 per year

Company

Snowflake provides a data platform and is developing AI- and machine-learning-powered systems for enterprise decision-making.

What you will do

• Set the technical direction for AI and machine-learning GTM decision systems across Sales and Marketing.
• Develop pipeline forecasting models for stage progression, conversion, and deal timing.
• Build account, lead, opportunity, and customer models for propensity, risk, potential, and outcome prediction.
• Develop recommendation and next-best-action systems that guide GTM focus, actions, and timing.
• Apply causal inference, experimentation, and uplift modeling to measure the incremental impact of campaigns, sales activities, and customer interventions.
• Define standards for training, backtesting, calibration, ranking quality, treatment-effect evaluation, uncertainty, monitoring, and business impact.

Requirements

• Advanced degree in Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science, or a related quantitative field, or equivalent practical experience.
• 5+ years of experience building production-grade statistical or machine-learning systems with meaningful business impact.
• Deep expertise in several areas including causal inference, experimentation, forecasting, propensity modeling, uplift modeling, ranking, or recommendation systems.
• Strong Python and SQL skills, with experience working on large-scale data platforms.
• Experience with model monitoring, validation, versioning, reproducibility, and safe lifecycle management.
• Excellent communication, technical leadership, and cross-functional influence skills.

Nice to have

• Experience with B2B SaaS, enterprise sales, consumption-based businesses, or account-based GTM motions.
• Experience in pipeline forecasting, account prioritization, lead or opportunity scoring, expansion, renewal, or churn modeling.
• Experience with incrementality testing, marketing effectiveness, recommendation systems, ranking, or decision optimization.
• Experience with LLMs, agents, retrieval systems, or AI-assisted Sales and Marketing workflows.
• Experience deploying model outputs into business workflows and measuring adoption and realized impact.

Culture & Benefits

• Work in a fast-growing organization focused on challenging conventional approaches and accelerating innovation.
• Collaborate with GTM leaders, Revenue Operations, data scientists, and partner teams.
• Operate in an experimental environment that encourages practical use of emerging AI capabilities.