Actuary, Data Scientist Manager
Richmond, Virginia, United States
R
USD 136K-211K Mid-level Full Time
Tasks
- Build datasets using SQL and programming languages
- Collaborate on data modernization and scalable architecture
- Communicate insights to senior leaders through storytelling
- Conduct exploratory data analysis
- Define analytical problem statements and requirements
- Design analytics pipelines and feature engineering
- Develop and deploy statistical and machine learning models
- Ensure model documentation reproducibility and governance
- Lead analytics initiatives from concept through execution
- Validate models and ensure data quality
Perks/Benefits
- 401k savings plan
- Caregiver and mental health support services
- Comprehensive healthcare coverage
- Employee assistance program resources
- Generous paid time off
- Paid family leave
- Training and certification support
- Tuition reimbursement
- Wellness support
Skills/Tech-stack
AWS | Apache Spark | Azure | ETL | Feature Engineering | GLM | Hive | Logistic Regression | MLOps | Machine Learning | Model Validation | Optimization | Pandas | PySpark | Python | SQL | Scala | Scikit-learn | Series forecasting | Time Series | Time Series Forecasting | XGBoost
Education
Roles
Data Scientist | Data Scientist Manager | Manager | Scientist Manager
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