Talent.com
Staff AI Scientist

Staff AI Scientist

Intuit Inc.Toronto, ON, Canada
12 days ago
Job description

Come join the Consumer Group (CG) AI Team as a Staff Data Scientist. The CG AI team focuses on bringing the top-notch AI features to Intuit’s TurboTax customers for their delight. You will get the chance to lead the work to leverage the cutting-edge AI technologies, 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 building a pleasant customer experience, striving for more money, less work and complete confidence for our TurboTax customers.

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.

Minimum Requirements

  • 5+ years of industry experience with data science.
  • BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent.
  • 5+ 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.

    • J-18808-Ljbffr