Data Scientist Senior - Model Development
USD 143K-273K Senior-level Full Time
Tasks
- Assess regulatory implications for modeling efforts
- Build reusable production quality algorithms and code
- Collaborate with data engineering and IT to deploy production ready analytical assets
- Compose technical documents for knowledge persistence and review audiences
- Develop analytical questions execute analysis and communicate outcomes to non technical partners
- Develop and deploy models within model development control framework
- Develop scalable automated machine learning simulation and optimization solutions
- Gather interpret manipulate structured and unstructured data
- Identify measure monitor and control model risks per compliance policies
- Manage project milestones risks and impediments
- Mentor junior data scientists
- Select modeling techniques based on data limitations and business needs
- Translate business problems into predictive analytics and machine learning solutions
- Validate model results and stability with Model Risk Management
Perks/Benefits
- 401k
- Adoption Assistance
- Career planning and continuing education
- Health, dental, vision insurance
- Life insurance
- Paid Holidays
- Paid time off
- Parental benefits
- Pension
- Relocation assistance
- Remote or hybrid flexibility
- Volunteer hours
- Wellness programs
Skills/Tech-stack
Clustering | DBSCAN | Data Preprocessing | Decision Trees | Descriptive Statistics | Diagnostic statistics | Discriminant analysis | HQL | Hierarchical Clustering | Inferential Statistics | JSON | K-Means | Linear Regression | Logistic Regression | Machine Learning | Model Governance | Model Risk Management | Model Validation | Model risk | NoSQL | Optimization | Predictive Analytics | Python | R | Random Forest | Risk Management | SAS | SQL | Simulation | Statistical Analysis | Support Vector Machines | Vector machines | XML
Education
Roles
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