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Data Scientist Intern (PhD preferred, open to Masters)

Learn more about Intuit
Intuit

Intuit

Data Scientist Intern (PhD preferred, open to Masters)

Mountain View, CA +1 location
Internship
Paid
  • Responsibilities

    Overview

    Want to apply your technical skills and innovative ideas on top of the collective financial data of 40+ million consumers and small businesses, and help build data products (in TurboTax, Quickbooks and Mint) that solve real-world customer problems and power prosperity around the world?

    Intuit is seeking Data Science Interns to join us this Summer (2022). Working side-by-side with Intuit's Data Scientists and Machine Learning Engineers – along with Data Analysts, Software Engineers, and product managers – you will help us understand and improve customer experiences with our products by uncovering critical insights and developing machine learning models.

    This position is intended for students in a degree-seeking program, to which they will return at the end of the summer internship in 2022. If you do not meet this minimum criteria, please revisit our careers site for other opportunities.

    What you'll bring

    • Must be currently enrolled in a degree seeking program and return to school after internship is complete (PhD preferred, open to Masters)
    • Major in Computer Science, Statistics, Mathematics, Operations Research or other quantitative field
    • Familiar with machine learning techniques (regression, classification, clustering, optimization, etc) and understand their mathematical foundations
    • Ability to explore, discover and import data from multiple sources and make them machine learning ready
    • Design and test hypotheses about causes and cures
    • Strong programming skills (Python and Scala preferred)
    • Excellent communication skills and ability to learn fast
    • Experience in developing machine learning solutions to solve real-world problems is a plus
    • Experience with Hadoop or Spark is a plus
    • Published works in top tier data science and machine learning conferences such as KDD, ICML, NIPS, ICLR, ACL, SIGIR, WWW, CVPR, SIGMOD, etc. is a plus

    How you will lead

    Areas we are exploring:

    • Times series forecasting
    • Reinforcement Learning/Bandits/Causal Inference
    • Image/document understanding
    • Intent classification
    • NLP/NLU/NLG
    • Conversational UI, Chatbots
    • Personalization and recommendation
    • Deep learning
    • Semi-supervised learning
    • ML services (autoML, feature recommendation, explainable AI, etc)

    Sample intern projects from previous years:

    • Adversarial Deep Learning ranking algorithms for question-answer forums
    • Use topic modeling to link form lines to verbose instruction/publication documents
    • Patch based information extraction using an unsupervised form segmentation algorithm
    • Assess agent call quality using call transcript data
    • Apply deep learning for transaction time series forecasting with uncertainty estimation
    • Explore active learning to improve the event labels used to train our supervised models
    • Predict cognitive biases using financial data
  • Industry
    Computer Software
  • Locations
    Mountain View, CA • San Diego, CA
  • About Us

    We are a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving over 100 million customers worldwide with TurboTax, QuickBooks, Credit Karma, Mailchimp and Mint, we believe that everyone should have the opportunity to prosper, and we work tirelessly to find new, innovative ways to deliver on this belief.