Staff AI Scientist

Responsibilities

• P 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.
• Learns and 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.
• 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.
• A 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.