Senior AI Scientist

SupportFinity™; San Francisco (CA); On-site; USD 173,500 - 234,500; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Comprehensive benefits package

Job summary

A leading financial technology company is seeking a Senior AI Scientist to join its team. In this role, you will build and deploy machine learning models, perform data analysis, and collaborate with cross-functional teams to enhance product features. The ideal candidate has at least 1 year of industry experience in AI science and is proficient in R or Python. The position offers competitive compensation including cash bonuses and equity rewards, with a pay range of $173,500 - $234,500 for the Bay Area California location.

Qualifications

• 1+ years of industry experience with AI science.
• Experience in analytical tools and programming languages (R or Python).
• Solid communication skills to explain technical issues.

Responsibilities

• Perform hands-on data analysis with huge data sets.
• Apply data mining and machine learning to improve algorithms.
• Work with stakeholders to design experiments.

Skills

Data mining

Machine learning

Statistical modeling

Programming in R or Python

SQL

Clustering

Classification

Neural networks

Education

BS, MS, or PhD in Computer Science, Statistics, or related field

Tools

scikit-learn

SparkSQL

Hive

Job description

Overview

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”. 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 will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. The expected base pay range for this position is: Bay Area California: $173,500 - 234,500