What are the responsibilities and job description for the Data Scientist position at R Systems Inc.?
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC is a full-service IT provider, focused on delivering innovative and value-driven business analytical solutions leveraging data science, data engineering, and decision science to provide winning actionable insights assisting our financial services clients in banking, insurance, and credit union business in achieving their business goals.
The following information aims to provide potential candidates with a better understanding of the requirements for this role.
Innovizant is made up of exceptional data scientists and domain experts with great experience in our financial services industry solutions including Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics, and product bundling analytics.
Some of our accelerators and solution frameworks assist our clients including FIN-CDO (which provides pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239), and SmartCECL (Risk mitigation strategies by predicting default and loss given a default).
Job Description
Role : Data Scientist
Location : Madison, WI
Full Time (Direct Hire)
- 5 years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
- Experience in Statistical modeling.
- Candidate will be helping the client to lead this process or improve upon the program.
- Extremely efficient in Python and R.
- Extremely efficient in identifying the right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression – are absolutely must.
- Exposure to Insurance (especially consumer Insurance / Retail Insurance) is a minor edge.
- MS in AI / Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
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