Intuit

Tax, accounting, and personal-finance software

Senior AI Scientist - Business Platform

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

An MS or PhD in an appropriate technology field, such as Computer Science, Statistics, Applied Mathematics, or Operations Research.
At least 1 year of industry experience with AI science.
At least 1 year of experience using modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
Proficiency in SQL, Hive, or SparkSQL.
Comfort working in a Linux environment.
At least 1 year of experience with data-mining algorithms and statistical-modeling techniques such as clustering, classification, regression, decision trees, neural networks, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
Ability to explain complex technical issues to technical and non-technical audiences.

Responsibilities

Perform hands-on data analysis and modeling with large datasets.
Apply data mining, natural language processing, and supervised and unsupervised machine learning to improve relevance and personalization algorithms.
Work with product managers, software engineers, and designers to design experiments and minimum viable products.
Discover and access data sources; import, clean, and prepare data for modeling; perform the required extract, transform, and load work.
Create and refine features from underlying data, developing subject-matter intuition about features that may improve model performance and iterating accordingly.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions about the impact of optimizations, and communicate results to peers and leaders.
Explore new design or technology shifts to determine how they might connect to customer benefits.

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of 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|Job Description

Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect millions of small businesses. In this role you will be building and deploying AI to drive product experiences.

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

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:
Mountain View $180,000 - $243,500

About the Company

Intuit

Tax, accounting, and personal-finance software

Intuit provides financial technology tools for consumers and small businesses. Its main products are TurboTax for tax preparation, QuickBooks for accounting, and Mint for personal finance management. These tools typically operate on a subscription basis or behind transaction fees, with features that help users file taxes, track income and expenses, and manage budget and goals. The software ecosystem is designed to connect tax, accounting, and personal finance in one place, improving workflows for individuals, freelancers, and small business owners. Security is a priority, with measures like multi-factor authentication and anti-fraud protections to protect user data. Intuit’s goal is to help people achieve financial well-being by educating users and delivering easy-to-use, reliable financial software across different needs and customer segments.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1983

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