I
Not Specified Permanent

San Jose, California · USA job

Senior AI Scientist

Intuit

San Jose, California

Job description

Overview

Senior AI Scientist at Intuit drives AI/ML initiatives across products, security, and customer care. You will build and deploy models using both traditional analytics and deep learning, shaping features and experiments with cross-functional teams. You'll turn large data into actionable insights, improving relevance and personalization. This is a hands-on, impact-focused role in a collaborative AI group that directly touches hundreds of thousands of customers.

Compensation / Benefits
  • cash bonus
  • equity rewards
  • benefits package
  • competitive compensation
  • pay-for-performance
Responsibilities
  • Perform hands-on data analysis and modeling with large data sets
  • Apply data mining, NLP, and machine learning to improve relevance and personalization
  • Collaborate with product managers, software engineers, and designers to design experiments and MVPs
  • Identify and obtain data sources, perform ETL, and prepare data for modeling
  • Create and refine features; develop intuition for feature effectiveness
  • Run A/B tests, analyze results, and communicate findings to stakeholders
  • Explore new design or technology shifts to enhance customer benefits
Key requirements
  • BS, MS, or PhD in Computer Science, Statistics, Applied Math, Operations Research (or closely related field)
  • 1+ years of industry AI experience
  • 1+ years experience with Python or R and scikit-learn
  • Proficiency in SQL, Hive, or SparkSQL
  • Comfortable in Linux environment
  • 1+ years experience in data mining and statistical modeling (clustering, classification, regression, decision trees, neural nets, SVM, anomaly detection, recommender systems, sequential pattern discovery, text mining)
  • Strong communication skills to explain complex technical issues to diverse audiences
  • clear communication
  • collaboration across cross-functional teams
  • ability to explain complex technical concepts to non-technical audiences
  • Python
  • R
  • scikit-learn

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