Data Scientist (Mid-level) - Risk Modeling
San Antonio Home Office I, United States
R
USD 114K-218K Mid-level Full Time
Tasks
- Assess regulatory implications
- Collaborate to deploy production ready analytical assets
- Communicate analytics results to non technical stakeholders
- Develop and deploy models using Model Development Control and Model Risk Management
- Develop machine learning and statistical models
- Gather and manipulate structured and unstructured data
- Identify measure monitor and control model and business risks
- Perform descriptive diagnostic and inferential statistics
- Prototype and deploy data science products
- Query and preprocess data using SQL and NoSQL
- Select modeling techniques based on data limitations
- Train validate and score analytics models
- Write technical documentation
Perks/Benefits
- 401k
- Adoption Assistance
- Continuing education
- Health, dental, and vision insurance
- Life insurance
- Paid Holidays
- Paid time off
- Parental benefits
- Pension
- Volunteer hours
- Wellness programs
Skills/Tech-stack
Ad-Hoc | Ad-hoc Analytics | DBSCAN | Data Preprocessing | Decision Trees | HQL | Hierarchical Clustering | JSON | K-Means | Linear Regression | Logistic Regression | Machine Learning | Model Risk Management | Model Validation | Model risk | NoSQL | Python | R | Random Forest | Risk Management | SQL | Statistical modeling | Supervised Learning | Support Vector Machines | Unsupervised Learning | Vector machines | XML
Education
Roles
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