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Staff Data Scientist

Company: Intuit
Location: Mountain View
Posted on: September 17, 2020

Job Description:

OverviewTheRouting and Matchingteam at Intuit AI works diligently to improve our customers' experience using machine learning models.--As part of the customer success group, we utilize reams of tabular, text and voice data to better provide help to our customers when they need it most.--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.--We are waiting for you to join us and do the best work of your life.What you'll bring4+ years of industry experience with data science BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent work experience4+ years of hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processingExpertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.Efficient in SQL, Hive, SparkSQL, etc.Comfortable working in a Linux environmentExperience with building end-to-end reusable pipelines from data acquisition to model output deliveryQuick learner, adaptable, with the ability to work independently in a fast-paced environmentStrong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical usersHow you will leadExcellent leadership and communication skills to influence teams and to evangelize data science across the organizationPerform hands-on data analysis and modeling with huge data setsApply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithmsWork side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable productsDiscover 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 ETLCreate 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 repeatRun regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leadersExplore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliverCommunicate key analytic findings within the business and to senior stakeholdersResearch, explore, and enable new quantitative techniques and technologies in data science

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

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