Senior AI Scientist

Overview Intuit is looking for an innovative and hands-on Staff AI Scientist to join the QuickBooks

Online Payroll team.

This team embeds artificial intelligence and machine learning into our product portfolio

and business to create smarter products, improve anti-fraud and security and enhance

customer care. Come join our collaborative and creative group of AI scientists and

machine learning engineers and build models that directly affect millions of our

customers. In this role you will be building and deploying machine learning models

using both analytical algorithms and deep learning approaches.

Responsibilities

• Perform hands-on data analysis and modeling with huge data sets

Apply data mining, NLP, and machine learning (both supervised and

unsupervised) to improve relevance and personalization algorithms.

• Work side-by-side with product managers, software engineers, and designers in

designing experiments and minimum viable products.

• Discover data sources, get access to them, import them, clean them up, and

make them “model-ready”. You need to be willing and able to do your own ETL.

• Create and refine features from the underlying data. You’ll enjoy developing just

enough subject matter expertise to have an intuition about what features might

make your model perform better, and then you’ll lather, rinse and repeat.

• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions

on the impact of your optimizations and communicate results to peers and

leaders.

• Explore new design or technology shifts in order to determine how they might

connect with the customer benefits we wish to deliver.

Qualifications

• BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics,

Applied Math, Operations Research, etc.)

• 3+ years of experience with scaling AI systems operationally.
• 3+ years of industry experience with AI science.
• 5+ years of experience in modern advanced analytical tools and programming

languages such as R or Python with Scikit-learn.

• Efficient in SQL, Hive, or SparkSQL, etc.
• Comfortable in Linux environment.
• 3+ years of experience in data mining algorithms and statistical modeling

techniques such as clustering, classification, regression, decision trees, neural

nets, support vector machines, anomaly detection, recommender systems,

sequential pattern discovery, and text mining.

• Understand machine learning principles (training, validation, etc.)
• Computer science fundamentals: data structures, algorithms, performance

complexity, and implications of computer architecture on software performance

(e.g., I/O and memory tuning).

• Solid communication skills: Demonstrated ability to explain complex technical

issues to both technical and non-technical audiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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. The expected base pay range for this position is: