Intuit's Consumer Group (CG) AI Team is looking to bring top-notch AI features to TurboTax customers, and this role aims to help conceive, code, and deploy data science models at scale to achieve this goal.
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)
- Understand machine learning principles (training, validation, etc.)
- Knowledge of data query and data processing tools (i.e. SQL)
- Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
- Software engineering fundamentals: version control systems (i.e. Git, GitHub) and workflows, and ability to write production-ready code
- Experience with GPU acceleration (i.e. CUDA and cuDNN)
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
Other
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience
- 6+ years of experience
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
- Ability to work cross functionally with product managers, data scientists and product engineers
- Ability to communicate results to peers and leaders
