GTM Staff Data Scientist
Core
Provide technical leadership for AI & Machine Learning powered GTM decision systems, defining how they are designed, evaluated, and integrated into sales and marketing workflows.
Role type
Staff Data Scientist (GTM)
Builds
Propensity models, pipeline forecasting methods, recommendation/next-best-action systems, and causal inference frameworks for sales and marketing.
Domain
B2B SaaS, Enterprise Sales, Account-Based Marketing
Deliverable
production ML models | product features
Required skills
Causal inference, experimentation design, uplift modeling, forecasting, propensity modeling, recommendation systems, Python, SQL, large-scale data platforms, model monitoring and validation, business impact measurement
Preferred skills
LLMs and agents, retrieval systems, CRM and marketing automation data, decision optimization, unstructured interaction data analysis
Technologies
Python, SQL, large-scale data platforms
Responsibilities
Set technical direction for AI/ML GTM decision systems; Develop pipeline forecasting and propensity models; Build recommendation and next-best-action systems; Apply causal inference to measure campaign impact; Define standards for model training, backtesting, and evaluation; Partner with GTM leaders to embed outputs into workflows; Mentor scientists and raise technical standards
Seniority
Staff, hands-on IC with technical leadership