Data Science Opportunities

Overview

Intuit is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide with 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.
Responsibilities

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. This team solves complex problems in artificial intelligence and machine learning to create innovative new solutions for our customers.

We are currently adding Senior Data Scientists, Staff Data Scientists, Senior Staff Data Scientists & Principal Data Scientists to our team to embed artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security, and enhance customer care. We aim to save our customers time (‘Never enter data’), increase their prosperity by making actionable financial recommendations, and enable them to have complete confidence in our products. Regardless of title, in all roles you will use machine learning to add new features and improve existing ones throughout our offerings, such as categorization, fraud prevention, customer success, A/B testing, and more.

Responsibilities
• Practices leadership and communication skills to influence teams and to evangelize data science across the organization
• Collaborates 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 products
• Leads 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 standards
• Performs 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
• Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
• 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

Company:

Intuit

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Data Analysis, Industry, Machine Learning, NLP, United States