Overview

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

Responsibilities

• Practices leadership and communication skills to influence teams and to evangelize AI 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.

Qualifications

• • 
    4+ years of industry experience with AI science

  • BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent

  • 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.

  • Prior experience / qualifications in Marketing platforms, media management. If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you.

  • 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

Intuit 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.