Principal, Business Operations (Platform Marketing)

Company OverviewIntuit 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 OverviewCome join the AI Foundation as a Principal AI Scientist. The PDX AI Foundation team focuses on building capabilities that enable and accelerate AI development across Intuit. You will get the chance to lead the work to leverage the cutting-edge AI technologies at scale focusing on developing AI standards, Evaluation methodologies and tools, as well as collaborate across organizations and functions with our partners in the engineering, product management, analytics and design departments to ensure that we are accelerating the work of developers across IntuitResponsibilitiesPractices leadership and communication skills to influence teams and to evangelize data science across the organizationCollaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable productsLeads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standardsPerforms hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.Communicates with partners to ensure successful delivery and integration of DS solutions.Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.Qualifications10+ years of industry experience with data scienceBS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent experience8+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.Proficient in NLP techniques, Explainable AI, and ML frameworks.Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.Experience 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 users FooterIntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $273,500 - $369,500