Intuit is looking to solve the problem of powering prosperity for its customers by leveraging data science and machine learning to deliver customer benefits
Requirements
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark)
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering)
Model Prototyping: build prototype models alongside data scientists
Model Productionalization: productionalize prototype models to the point where it can be used by customers at scale
Model Enhancement: work on existing codebases to either enhance model prediction performance or to reduce training time
Machine Learning Tools: build a tool for a specific project, or multiple projects
Data wrangling, feature engineering, developing models, and testing metrics
Responsibilities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver
Build prototype models alongside data scientists
Other
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders
Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location
To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender
