Data Scientist
Tasks
- Apply machine learning and deep learning to AI projects
- Apply responsible AI governance monitoring and explainability
- Build predictive models algorithms simulations and experiments
- Collaborate with developers engineers and MLOps to deliver scalable AI solutions
- Create AI based data products with analysis visualization and storytelling
- Develop production ready machine learning models
- Ensure AI solution robustness
- Gather and analyze large complex data assets
- Mentor junior data scientists and analysts
- Translate business requirements into technical needs
Perks/Benefits
- Hybrid work schedule
- Paid time off
- Professional development opportunities
- Public transport access
- Remote work flexibility
Skills/Tech-stack
API | AWS | Apache Spark | Bayesian statistics | CI/CD | Cloud Computing | Computer Vision | Data Visualization | Databricks | Deep learning | Explainability | Federated Learning | GCP | Graph Databases | Healthcare Data | High Performance | High-Performance Computing | IoT | LLMs | Language Processing | MLOps | Machine Learning | Monitoring | Natural Language | Natural Language Processing | NoSQL | Optimization | Orchestration | Performance Computing | Plotly | Power BI | Python | R | Reinforcement Learning | Responsible AI | SQL | Seaborn | Series forecasting | Statistical modeling | Streamlit | Supervised Learning | Tableau | Time Series | Time Series Forecasting | Trustworthy AI | Unsupervised Learning
Education
Master of Arts | Master of Engineering | Master of Science | PhD
Roles
Regions
Countries
States
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