Senior AI Scientist: Lead ML & Data Solutions

Intuit Inc.; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation package

Cash bonus and equity rewards

Comprehensive benefits

Job summary

A leading financial software company is looking for a Senior Staff AI Scientist to join their AI team in Atlanta, GA. This role involves building and deploying machine learning models and collaborating with stakeholders on innovative solutions. The ideal candidate should have over 6 years of experience in AI science and leadership qualities to guide a scrum team effectively.

Qualifications

• 6+ years of industry experience with AI science.
• 4+ years of hands-on expertise in various machine learning paradigms.
• Strong oral and written communication skills.

Responsibilities

• Lead technical work of a scrum team on model solutions.
• Communicate results and conduct presentations to partners.
• Perform hands-on data analysis and modeling.

Skills

AI science experience

Machine Learning expertise

Leadership skills

Communication skills

Python

SQL

NLP techniques

Education

BS, MS or PhD in Statistics, Mathematics or related

Tools

SparkSQL

Scikit-learn

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

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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.