Data Scientist Senior
San Antonio Home Office I, United States
USD 143K-273K Senior-level Full Time
Tasks
- Assess business needs for analytical projects
- Build reusable production quality algorithms
- Collaborate with data engineering to deploy production models
- Develop and deploy models under Model Development Control
- Develop machine learning models for business insights
- Develop simulation and optimization solutions
- Escalate issues limiting project success
- Execute analysis and communicate results
- Gather structured and unstructured data
- Identify measure monitor and control model and business risks
- Interpret and manipulate data for analytics
- Maintain best practices for model deployment
- Manage models under Model Risk Management
- Manage project milestones risks and impediments
- Mentor junior data scientists
- Participate in data science communities
- Prioritize analytics and modeling problems
- Select modeling techniques based on data limitations
- Translate business questions into analytical requirements
- Write technical documentation for knowledge persistence
Perks/Benefits
- 401k
- Career path planning
- Continuing education
- Hybrid flexibility
- Life insurance
- Medical, dental, and vision
- Paid time off
- Paid volunteer hours
- Relocation assistance
- Remote eligible
- Wellness programs
Skills/Tech-stack
DBSCAN | Data Preprocessing | Data Validation | Decision Trees | Descriptive Statistics | Diagnostic statistics | Generative AI | Hierarchical Clustering | Inferential Statistics | K-Means | K-Nearest Neighbors | K-nearest | Language Processing | Linear Regression | Logistic Regression | Machine Learning | Model Development | Model Development Control | Model Risk Management | Model risk | Natural Language | Natural Language Processing | Nearest neighbors | Python | R | Random Forest | Risk Management | SQL | Statistical Analysis | Supervised Learning | Support Vector Machines | Unsupervised Learning | Vector machines
Education
Roles
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