Data Scientist Senior – Auto & Property Modeling
USD 143K-257K Senior-level Full Time
Tasks
- Assesses business needs and recommends analytical and modeling projects
- Builds and maintains reusable production quality algorithms and code
- Communicates findings to non technical business partners with recommendations
- Coordinates with Data Engineering and IT to deploy production ready analytical assets
- Develops and deploys models using Model Development Control and Model Risk Management
- Develops scalable automated machine learning simulation and optimization solutions
- Ensures model risks are identified measured monitored and controlled
- Escalates issues that could limit project success
- Gathers interprets and manipulates structured and unstructured data
- Maintains expertise in cutting edge techniques
- Manages project milestones risks and impediments
- Mentors junior data scientists
- Prioritizes analytics and modeling problems with business partners
- Selects modeling techniques based on data limitations and business needs
- Translates business requests into analytical questions and delivers results
- Writes technical documentation for model risk and technical review
Perks/Benefits
Skills/Tech-stack
DBSCAN | Data Preprocessing | Decision Trees | GLM | Gradient Boosting Machines | Gradient boosting | Hierarchical Clustering | JSON | K-Means | Language Processing | Linear Regression | Logistic Regression | Machine Learning | Model Development | Model Development Control | Model Governance | Model Risk Management | Model risk | Natural Language | Natural Language Processing | Optimization | Python | R | Random Forest | Risk Management | SQL | Simulation | Statistical modeling | Support Vector Machines | Vector machines | XML
Education
Roles
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