Senior Data Scientist
1887 Alexandria VA, United States
USD 107K-195K Senior-level Full Time
Tasks
- Collaborate with engineering teams to ensure analytical outputs accuracy and actionability
- Design experiments feature engineering and model validation frameworks
- Design predictive models and analytical frameworks to support decision making
- Develop and deploy statistical machine learning and predictive analytics models
- Develop scalable data pipelines for model training and inference
- Establish modeling standards peer review processes and analytical quality governance
- Extract insights from operational service and performance data to identify improvement opportunities
- Forecast future demands and detect performance anomalies in real time
- Implement responsible AI practices including bias detection explainability and performance monitoring
- Integrate models into DevSecOps pipelines for automated testing validation and deployment
- Maintain documentation evaluation metrics and model performance dashboards
- Participate in SAFe PI planning backlog refinement and sprint reviews
- Translate analytical findings into actionable insights for technical and executive stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Controls | Azure | Bias detection | Cloud Native | Data Governance | Data Pipelines | Data Security | Data Visualization | Data encryption | DevSecOps | Drift Detection | Explainability | Feature Engineering | Google Cloud | Hadoop | Machine Learning | Model Monitoring | Model Validation | Power BI | Predictive Analytics | PyTorch | Python | R | SQL | Scikit-learn | Spark | Statistical modeling | Tableau | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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