-
ID
#17812968 -
Job type
Contract -
Salary
$65.00 - $70.00 per hour -
Source
Mantek Solutions Inc -
Date
2021-08-03 -
Deadline
2021-10-02
Data Scientist
California, Irvine, 92616 Irvine USAContract
Vacancy expired!
- Prototype new modeling methodologies for incorporation into global suite
- Work directly with ML engineering team to identify issues and guide them on requirements
- Write data pipelines / ETL for non-standard or new modeling use cases
- Build new dashboards and reports to provide insights to clients on model performance and impact, leveraging proprietary BI toolkit
- Help document methodologies, tool usage and business logic
- Support implementation teams executing complex modeling tasks on enterprise ML ops platform
- Perform complex/custom data engineering where needed to support strategic clients
- Train ML models for underwriting, targeting and other applications where needed
- Test new product features and algorithms and verify accurate implementation ahead of live release to global client base
- Implement bug-fixes and upgrades to methodologies in credit-related business logic (e.g., Bureau Inferencing modifications etc.)
- Highly proficient writing data processing code with at least one SQL dialect
- Spark SQL experience desirable but not required
- Comfortable using Python and Jupyter notebooks with common open source libraries for machine learning
- MLlib, pytorch, sklearn, tensorflow all valuable
- Understanding of credit risk modeling fundamentals
- Strong communication skills - able to talk to business users to understand and articulate issues requirements, as well as more technical developer audiences
- Strong data visualization skills - can present datasets to bring out insights & tell a story
- Self-starter willing to solve problems and ask the right questions, growth mindset
- Desirable: Familiarity with widely-used credit risk assessment tools like FICO Model Builder and SAS
- Desirable: Understanding of the credit risk lifecycle from prospecting and acquisition to customer management and collections
- Experience in modeling and/or data engineering in a Credit Risk institution. You will have worked at least 3 - 5 years for a major bank, FinTech or other financial institution.
- At least 5 - 7 years total industry experience focused on analytics, data science and/or data engineering, with some direct experience in applied statistics and machine learning
- Advanced degrees in quantitative fields and/or professional experience in applied analytics are valuable
- Bachelor's degree required, Master's degree preferred
Vacancy expired!
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