Data Scientist Lead - Compliance Analytics (Hybrid - Buffalo, NY)
Tasks
- Analyze compliance risk using data
- Assess risk control effectiveness
- Build analytics and machine learning models
- Build champion challenger models
- Create automated self-service solutions
- Develop self healing model framework
- Develop statistical and machine learning models
- Implement models in production
- Ingest clean and prepare data
- Investigate root cause of exceptions
- Lead stakeholder meetings
- Maintain internal risk controls compliance
- Manage data science team
- Produce model outputs for stakeholders
- Refine model selection and evaluation
- Review code for efficiency accuracy and best practices
Perks/Benefits
Skills/Tech-stack
AB Testing | Bayesian Modeling | Cause analysis | Classification | Cloud Databases | Clustering | Data Analysis | Data Drift | Data Ingestion | Data Visualization | Data cleaning | Econometrics | Hypothesis Testing | Logistic Regression | Machine Learning | Model Deployment | Model Monitoring | Multivariate statistics | Neural Networks | Non Parametric | Non-parametric Methods | On-Premises | On-premises databases | Panel data | Panel data analysis | Parametric methods | Root Cause Analysis | Root cause | SQL | Sampling | Series analysis | Simulation | Statistical modeling | Time Series | Time Series Analysis
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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