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Job Overview

Come join Intuit's AI organization as a Data Science Group Manager, leading our NLP Capabilities group.

#LI-Hybrid

Qualifications

  • BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics), or equivalent experience
  • 4+ plus years experience as an established technical leader and manager of data science teams that have successfully delivered data-driven software products
  • Innovative and disruptive technology leader, solving long-term strategic outcomes
  • Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices
  • Leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language
  • Impeccable attention to detail and strong ability to convert complex data into insights and action plans
  • Strategic thinker, flexible problem solver, great listener and team orientation
  • Able to effectively communicate a vision and inspire others to innovate
  • Thrive on ambiguity and enjoy the frequent pivoting that’s part of the exploration. Extremely passionate about practically applying Machine Learning to real customer problems, powering the next-generation experiences for large-scale applications

Responsibilities

  • Lead multiple teams of data scientists and machine learning engineers
  • Mentor and hire the best data scientists in Israel
  • Apply artificial intelligence, generative artificial intelligence, and machine learning techniques to solve complex questions or fuel new business opportunities
  • Deliver breakthrough benefits to Intuit users and customers, across small business and consumer products using individual, enriched, and aggregated data
  • Provide leadership in advanced engineering, data science, and analytics in the development of current and future products or technologies
  • Provide technical leadership across multiple teams, by understanding a key technology space deeply enough to help guide strategy
  • Provide and inspire data science innovations that fuel the growth of Intuit
  • Understand and teach proven methods and hacking skills in working with divergent data types at scale, to explore and extrapolate data-driven insights, using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
  • Provide the entrepreneurial guidance essential for business stakeholders to appropriately interpret and build on findings, and fully exploit the insights revealed through the research
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Confirmed 3 hours ago. Posted 28 days ago.

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