Senior Data Scientist
Tasks
- Advise on advanced analytics and machine learning adoption
- Build scalable data pipelines and platforms
- Communicate insights to executives and stakeholders
- Deliver proofs of concept and MVPs
- Deploy machine learning models
- Develop machine learning models
- Ensure model robustness explainability and interpretability
- Establish experimentation and A B testing standards
- Execute data science and AI strategy
- Implement model monitoring and drift detection
- Lead AI/ML initiatives
- Lead MLOps operationalization
- Mentor data scientists and analysts
- Support model risk management and governance
- Support responsible AI bias mitigation
- Translate business problems into analytical frameworks
Perks/Benefits
- Employee stock ownership program
- FlexPTO
- Flexible workplace
- Learning and development opportunities
- Performance based rewards program
Skills/Tech-stack
A/B | A/B Testing | Amazon SageMaker | Azure Machine Learning | B testing | Bias Mitigation | Data Quality | Data Visualization | Deep learning | Drift Detection | Experiment design | Feature Engineering | Generative AI | Kubeflow | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Monitoring | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | Power BI | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Spark | Statistics | Tableau | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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