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Senior Data Scientist
Senior Data Scientist-November 2024
New York
Nov 1, 2026
ABOUT INTUIT
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve with TurboTax, Credit Karma, QuickBooks, and Mailchimp.
10,000+ employees
Consumer Goods & Services, Financial Services
VIEW COMPANY PROFILE >>
About Senior Data Scientist

  Overview

  Intuit is looking for innovative and hands-on Senior Data Scientist to join the Intuit AI team.

  This team embeds artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security and enhance customer care. Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.

  What you'll bring

  BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)

  1+ years of industry experience with data science

  1+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn

  Efficient in SQL, Hive, or SparkSQL, etc.

  Comfortable in Linux environment

  1+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining

  Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences

  How you will lead

  Perform hands-on data analysis and modeling with huge data sets

  Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms

  Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products

  Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL

  Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat

  Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders

  Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver

  EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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