Data Scientist for Financial Services
Tasks
- Apply mathematical optimization
- Build machine learning models
- Collaborate on solution delivery
- Conduct statistical modeling
- Deliver data-driven insights
- Deploy ML and AI applications
- Design generative AI solutions
- Develop backend functions for AI systems
- Develop predictive models
- Evaluate generative AI agents
- Forecast trends
- Implement rules programming
- Implement version control
- Manage data analysis workflows
- Perform data visualization
- Prepare and analyze data
- Recommend business optimizations
- Run discrete event simulation
- Set up CI/CD pipelines
- Set up cloud infrastructure and resources
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | Azure | CI/CD | Cassandra | Cloud platform | Dask | Discrete Event Simulation | Discrete event | Docker | Event simulation) | Generative AI | Git | GitHub | GitLab | Google Cloud | Google Cloud Platform | Gurobi | IBM CPLEX | Jenkins | Machine Learning | Mathematical Optimization | Matplotlib | MongoDB | MySQL | NumPy | Pandas | Plotly | Podman | PostgreSQL | Python | R | Rules Programming | SAS | SPSS | SQL | Seaborn | Shell Scripting | Statistical modeling
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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