Senior Data Scientist
Tasks
- Communicate insights and technical decisions
- Define modeling strategies and experimentation approaches
- Deploy and monitor machine learning solutions
- Design and develop AI and machine learning models
- Develop forecasting and capacity planning models
- Implement MLOps model versioning and retraining pipelines
- Lead and mentor data science teams
- Validate models and ensure code quality
Perks/Benefits
- Continuous learning and development
- Employee benefits
- Flexible schedule
- Hybrid work
- International projects
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Cloudera | Computer Vision | Data Governance | Distributed Systems | GCP | Generative AI | Java | Langchain | Language Models | Large Language Models | MLOps | Matplotlib | NLP | NumPy | Pandas | PySpark | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scala | SciPy | Scikit-learn | Spark MLlib | TensorFlow | Text Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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