Data Scientist
San Antonio Home Office I, United States
USD 143K-273K Senior-level Full Time
Tasks
- Assess business needs and propose analytical and modeling projects
- Build reusable production quality algorithms and supporting code
- Develop and deploy models in Model Development Control and Model Risk Management
- Develop scalable automated machine learning simulation optimization solutions
- Escalate issues limiting project success
- Execute analysis and modeling and communicate results to non technical partners
- Gather interpret manipulate structured and unstructured data
- Identify measure monitor and control modeling risks per risk and compliance policies
- Maintain expertise in cutting edge techniques
- Manage project milestones risks and impediments
- Mentor junior data scientists
- Partner with data engineering and IT to deploy production analytical assets
- Prioritize analytics and modeling problems with leaders
- Seek opportunities to learn new techniques technologies and methodologies
- Select modeling techniques based on data limitations
- Translate business requests into analytical questions
- Write technical documents for knowledge risk and technical review
Perks/Benefits
Skills/Tech-stack
Clustering | DBSCAN | Decision Trees | Deep learning | Discriminant analysis | Generative AI | Hadoop | Hierarchical Clustering | JSON | K-Means | Kubernetes | Language Processing | Linear Regression | Logistic Regression | MLOps | Machine Learning | Model Risk Management | Model risk | Natural Language | Natural Language Processing | NoSQL | Optimization | Python | R | Random Forest | Regression | Risk Assessment | Risk Management | SQL | Simulation | Spark | Statistical Analysis | Support Vector Machines | Vector machines | XML
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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