Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join Intuit's AI organization as a Data Science Group Manager, leading our NLP Capabilities group.
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
Requirements: 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 thats part of the exploration. Extremely passionate about practically applying Machine Learning to real customer problems, powering the next-generation experiences for large-scale applications
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