Senior Data Scientist
USA - Remote, United States
R
USD 144K-204K (estimate) Senior-level Full Time
Tasks
- Apply model governance explainability and responsible AI
- Collaborate with data engineering and MLOps teams to productionize solutions
- Communicate insights model outputs and recommendations
- Deploy and manage models on AWS SageMaker
- Design, build, and deploy machine learning models
- Develop and manage ML pipelines
- Drive feature engineering data preparation and exploratory data analysis
- Ensure model performance through validation monitoring and retraining
- Lead end to end data science initiatives for predictive analytics
- Mentor junior data scientists
- Translate business requirements into ML problem statements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Step Functions | Amazon SageMaker | Apache Airflow | Batch inference | Classification | Clustering | Data Ingestion | Data Preparation | Explainability | Feature Engineering | Kubeflow | MLOps | Machine Learning | Model Governance | Model Monitoring | NumPy | Pandas | Prophet | Python | Real Time | Real-time Inference | Regression | SARIMA | Sagemaker Pipelines | Scikit-learn | Series forecasting | Step Functions | Time Series | Time Series Forecasting | Workflow Orchestration | XGBoost
Education
N/A
Roles
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