Overview
Intuit is looking for innovative and hands-on Senior Data scientist to join the Intuit AI team.This team embeds artificial intelligence and machine learning into our product portfolio and business tocreate smarter products,improve anti-fraud and security, andenhance customer care.
We aim to save our customers time (‘Never enter data’), increase their prosperity by making actionable financial recommendations, and enable them to have complete confidence in our products
What you’ll bring
BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
1+ years of industry experience with data 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
How you will lead
In this role, youll
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.
Youll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then youll 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
by Jobble