Data Scientist
USD 130K-173K (estimate) Senior-level Full Time
Tasks
- Collaborate to productize AI and ML research into ML products
- Contribute to predictive model improvements
- Define project scope, objectives, and success metrics
- Deploy models and monitoring in production
- Design train and apply statistical mathematical and machine learning models
- Document work using CRISP DM
- Implement model governance for performance and stability
- Innovate using new algorithms tools and data
- Oversee end to end data science lifecycle
- Present results to technical and business stakeholders
- Research new data tools algorithms and model architectures
- Support Agile Scrum process
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Cloud platform | Computational statistics | Data Modeling | Deep learning | Dimensionality Reduction | Feature Engineering | Google Cloud | Google Cloud Platform | Graph Processing | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | PySpark | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | SVM | Scala | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
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