Skip to main content

Senior AI Scientist

Category Data Location Mountain View, California Job ID 19909
Apply Now

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is looking for innovative and hands-on Senior AI Scientist to join the Intuit AI 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 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

●

●

●

●

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.)

1+ years of industry experience with AI science

1+ 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

1+ 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

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: 



Apply Now

We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

Related Content

Jobs For You

You haven't viewed any jobs yet. Start exploring now to find the perfect opportunity for you!

View all of our available opportunities

You haven't saved any jobs yet. Start exploring now to find the perfect opportunity for you!

View all of our available opportunities

Sign Up for Job Alerts

Be the first to find out about open jobs that fit what you're looking for.