Skill

Statistical Machine Learning

Data Science, Analytics and AI/ML

Statistical machine learning is a field combining statistical theory with computational algorithms to build models that learn patterns from data and make predictions or decisions, encompassing methods like regression, classification trees, and probabilistic graphical models. It is used by data scientists and researchers to develop predictive models while grounding them in rigorous statistical principles like bias-variance tradeoff and generalization error. It underlies applications ranging from recommendation systems to medical diagnosis prediction.

Open roles requiring Statistical Machine Learning (1)

Senior Staff AI Research Scientist

Intuit

Mountain View, CA · $211,500 – $306,000

Intuit seeks a research leader to advance AI/ML science across their product ecosystem, directing investigations into decision-focused systems, causal reasoning, and agentic AI while mentoring researchers and translating discoveries into customer-facing capabilities. This role suits scientists with deep publication records and proven ability to shepherd multiple concurrent research programs from conception to real-world impact.

Listed on Intuit’s careers site · Apply there ↗

• Python
• Machine Learning
• scikit-learn
• Regression Analysis
• Bayesian Statistics