Data Scientist 2

Global financial technology platform powering prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving approximately 100 million customers worldwide.
Data
Mid-Level Software Engineer
Contact Company
1+ year of experience
AI · Finance

Description For Data Scientist 2

Intuit, a leading global financial technology platform, is seeking a Data Scientist to join their AI team. This role presents an exciting opportunity to work with cutting-edge AI and machine learning technologies while impacting hundreds of thousands of customers through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

The position involves building and deploying machine learning models using both analytical algorithms and deep learning approaches. You'll be working with a collaborative team of data scientists and machine learning engineers, focusing on embedding artificial intelligence and machine learning into Intuit's product portfolio to create smarter products, improve anti-fraud measures, and enhance customer care.

As a Data Scientist at Intuit, you'll own the end-to-end ML lifecycle, working closely with product managers, software engineers, and designers. Your responsibilities will include exploring and implementing various machine learning techniques, from supervised learning to GenAI, handling large datasets, and conducting A/B tests to measure impact.

The ideal candidate should have at least one year of experience with modern data science tools, proficiency in Python and its data science libraries, and a strong foundation in SQL and Linux environments. You'll need excellent communication skills to explain complex technical concepts to diverse audiences and a passion for staying current with the latest trends in AI and machine learning.

Join Intuit's mission to power prosperity worldwide while working with state-of-the-art technology and making a direct impact on millions of customers' financial lives.

Last updated a month ago

Responsibilities For Data Scientist 2

  • Explore, develop, and deploy machine learning models, owning the end-to-end ML lifecycle
  • Apply various machine learning techniques to improve relevance and personalization algorithms
  • Work with product managers, software engineers, and designers in designing experiments and MVPs
  • Discover, process, and train on huge data sets
  • Run regular A/B tests, perform statistical analysis, and communicate results
  • Explore new technology shifts for potential customer benefits

Requirements For Data Scientist 2

Python
Linux
  • BS, MS or PhD in Computer Science, Statistics, Applied Math, Operations Research, or equivalent work experience
  • 1+ years of experience in modern data science tools and proficient in Python and data science libraries
  • Efficient in SQL
  • Comfortable in Linux environment
  • 1+ years of experience in machine learning techniques
  • Solid communication skills

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