Intuit is looking to solve the problem of creating smarter products, improving anti-fraud and security, and enhancing customer care by embedding artificial intelligence and machine learning into their product portfolio and business
Requirements
- 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
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
Other
- 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
- Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
