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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
1+ year of experience
AI · Finance
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Description For Data Scientist 2

Intuit, a leading global financial technology platform, is seeking a Data Scientist to join their AI team. This role is integral to embedding artificial intelligence and machine learning across their product portfolio, which serves approximately 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

The position offers an exciting opportunity to work with a collaborative team of data scientists and machine learning engineers, where you'll build models that directly impact hundreds of thousands of customers. You'll be responsible for the complete machine learning lifecycle, from exploration to deployment, utilizing both analytical algorithms and deep learning approaches.

Key responsibilities include developing ML models, applying various techniques from supervised learning to GenAI, collaborating with cross-functional teams, and conducting A/B tests to measure impact. The ideal candidate will have at least one year of experience with modern data science tools, strong Python skills, and expertise in machine learning techniques.

This role at Intuit combines technical expertise with real-world impact, offering the chance to work on cutting-edge AI technologies while improving financial products used by millions. You'll be part of a team that values innovation and is committed to creating smarter products, enhancing security, and improving customer care through AI-driven solutions.

Last updated 6 months 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
  • Efficient in SQL
  • Comfortable in Linux environment
  • 1+ years of experience in machine learning techniques
  • Solid communication skills

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