Senior Staff AI Scientist

Intuit, Inc.; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Intuit is seeking a Senior Staff AI Scientist to join the Intuit AI team and build models that directly affect hundreds of thousands of our customers. You will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.

Intuit provides a competitive compensation package, including cash bonus and equity rewards, and supports delivering high-quality AI solutions across teams in a fast-paced environment.

Qualifications

• 6+ years of industry experience in AI science.
• Advanced degree in statistics, mathematics, CS, economics, OR, or related field.
• Hands-on expertise in ML paradigms (Causal‑ML, supervised/unsupervised, Online, Bayesian, RL, DL).
• Proficient in NLP, Explainable AI, and ML frameworks.
• Strong programming in Python/Scala/Java/R; SQL/Hive/SparkSQL; Linux.

Responsibilities

• Leads a scrum team, designs model solutions, and ensures high-quality code and deployment standards.
• Collaborates with product managers, software engineers, and designers on experiments and MVPs.
• Performs hands-on data analysis, ETL, and feature engineering on large datasets.
• Applies ML techniques to real-world problems and runs A/B tests to measure impact.
• Communicates results to peers and leaders and drives end-to-end delivery.

Skills

AI leadership

Data analysis

NLP

Explainable AI

Python

SQL

SparkSQL

Linux

Communication

Education

BS/MS/PhD in Statistics/Mathematics/CS/Economics/OR

Tools

Python

Scala

Java

R

Job description

Intuit is looking for innovative and hands‑on Senior Staff AI Scientistto join the Intuit AI team. Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.

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

• 6+ 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
• 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.