Data Scientist
| Company | Visa |
|---|---|
| Location | Washington, DC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Junior, Mid Level |
Requirements
- Master’s degree in Business Analytics, Computer Science, Statistics, or related field
- 2 years of experience in the job offered or in a data scientist-related occupation
- Python coding
- Predictive modeling
- Spark coding
- SQL
- Model validation
- Data analysis
Responsibilities
- Execute model implantation and performance tracking for risk models
- Generate performance analysis at the aggregate level, as well as issuer level
- Interpret and present performance results to non-technical audience
- Compile complex predictive model packages for production deployment; support model installations and monitor and calibrate production models
- Propel analytic product development via conducting statistical analyses on various data sources
- Add values to products by being innovative and applying the analysis
- Find opportunities to create and automate repeatable analyses or build self-service tools for business users
- Support sales and business efforts with sound statistical and financial analysis
- Execute ad-hoc analyses to meet the fast-changing market demands
- Conduct transaction data analyses with Hadoop/Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
- Ensure project delivery within timelines and meet critical business needs
- Promote big data innovations and analytic education throughout the organization
Preferred Qualifications
-
No preferred qualifications provided.