Staff Data Scientist

Overview

Intuit is looking for innovative and hands-on Staff Data Scientist to join the Intuit AI team.

Looking for a challenging job role that combines the power of Data Science with AI technology? We're hiring a Staff Data Scientist to join our dynamic team in Toronto primarily working on GenAI and focused on solving TurboTax customer problems. In this role, you will harness complex datasets, design transformative AI models and generate problem-solving solutions to improve customer experiences. Your contribution will significantly influence technical decisions and help shape the future of TurboTax. If you're a critical thinker, passionate about data, AI, and problem-solving, we'd love to hear from you. Bring your talent, passion, and aspiration where opportunities have no boundaries. Apply now to transform how people comprehend taxes in the futuristic world of GenAI.

• 4+ years of industry experience with data science
• BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent work experience
• 4+ 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.
• Efficient in SQL, Hive, SparkSQL, etc.
• Comfortable working in a Linux environment
• Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
• Quick learner, adaptable, with the ability to work independently in a fast-paced environment
• Strong 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

• 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.