AI Data Scientist
San Antonio Home Office I, United States
R
USD 114K-218K Mid-level Full Time
Tasks
- Collaborate with data engineering and IT to deploy production ready analytical assets
- Conduct analytics and modeling and communicate outcomes to business partners
- Develop and deploy models under Model Development Control and Model Risk Management framework
- Develop reusable production quality algorithms
- Develop scalable machine learning simulation and optimization solutions
- Gather and manipulate structured and unstructured data
- Monitor and control risks in accordance with risk and compliance policies
- Select modeling techniques based on data limitations and business needs
- Translate business requests into analytical questions
- Validate model results and stability
- Write technical documentation for knowledge persistence and technical review
Perks/Benefits
- 401k
- Adoption Assistance
- Career path planning
- Continuing education
- Hybrid/Remote flexibility
- Life insurance
- Medical/Dental/Vision
- Paid Holidays
- Paid time off
- Parental benefits
- Relocation assistance not available
- Wellness programs
Skills/Tech-stack
AWS | Cloud platform | DBSCAN | Decision Trees | Generative AI | Google Cloud | Google Cloud Platform | HQL | Hierarchical Clustering | K-Means | K-Nearest Neighbors | K-means Clustering | K-nearest | Langchain | Langgraph | Language Models | Large Language Models | Linear Regression | Logistic Regression | MLOps | Machine Learning | Model Risk Management | Model risk | Nearest neighbors | NoSQL | Prompt engineering | Python | RAG | Random Forests | Risk Management | SQL | Supervised Learning | Support Vector Machines | Unsupervised Learning | Vector machines | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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