Senior AI Scientist

Intuit
Mountain View, CA, USA

About the job

Intuit is looking for an 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”

Create and refine features from the underlying data

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

Minimum

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

Preferred

No preferred qualifications listed.