Senior AI Scientist

Intuit

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Mountain View, CA
Salary: $180,000–$243,500 / yr
Posted: 148 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k

This role $212k

$139k most similar roles pay here $258k

This role pays more than 59% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $212k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

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At a glance

TL;DR · Senior AI Scientist

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As a Senior AI Scientist on the Intuit AI team, you will join a collaborative group of scientists and engineers to embed artificial intelligence and machine learning into the product portfolio. You will build and deploy models using analytical algorithms and deep learning approaches to improve anti-fraud measures, security, and customer care. Your daily responsibilities include performing hands-on data analysis on large datasets, executing ETL processes, and refining features from raw data. You will also design experiments with product managers and designers while running A/B tests to evaluate optimizations. To succeed, you must utilize Python or R with scikit-learn, SQL, Hive, or SparkSQL in a Linux environment. Your work involves applying NLP, supervised and unsupervised learning, clustering, neural nets, and recommender systems to solve complex problems regarding relevance and personalization for customers.

Skills

Machine Learning Deep Learning Python R scikit-learn SQL Hive SparkSQL NLP ETL Statistical Modeling Support Vector Machines Data Mining Linux Clustering Regression Decision Trees

What you'll do

Perform hands-on data analysis and modeling using large datasets.
Apply NLP and machine learning techniques to improve relevance and personalization algorithms.
Execute ETL processes to discover, import, and clean data for model readiness.
Create and refine features from underlying data to improve model performance.
Run A/B tests and perform statistical analysis to measure the impact of optimizations.
Design experiments and minimum viable products alongside product managers and engineers.
Explore new technologies to determine how they can deliver specific customer benefits.

What we're looking for

BS, MS, or PhD in a technology field such as Computer Science, Statistics, Applied Math, or Operations Research.
1+ years of industry experience with AI science.
1+ years of experience using modern analytical tools and programming languages like R or Python with scikit-learn.
Proficiency in SQL, Hive, or SparkSQL.
Comfort working in a Linux environment.
1+ years of experience in data mining algorithms and statistical modeling techniques including clustering, classification, regression, and neural nets.
Ability to perform hands-on data analysis, ETL processes, and feature engineering on large datasets.
Strong communication skills to explain complex technical issues to both technical and non-technical audiences.

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