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Data Scientist

Company: Intuit
Location: Mountain View
Posted on: February 21, 2021

Job Description:

OverviewIntuit is looking for innovative Data scientist to help the Intuit AI team develop, design and integrate mathematical models into production. Our team builds AI/ML solutions for all the internal teams within Intuit like Engineering, HR, Finance & Legal. We are looking for team members that love new challenges, cracking tough problems and working cross-functionally.- If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.- Come do the best work of your life!What you'll bring

  • BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience
  • 1+ years of experience with data science
  • 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
  • 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 audiencesPreferred Additional Experience
    • Apache Spark
    • The Hadoop ecosystem
    • Java
    • HP Vertica
    • TensorFlow, reinforcement learning
    • Ensemble Methods, Deep Learning, and other topics in the Machine Learning communityHow 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

Keywords: Intuit, Mountain View , Data Scientist, Other , Mountain View, California

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