Data Scientist
Tasks
- Apply advanced statistical methods
- Build reusable machine learning and statistical models
- Define analytics needs and coordinate data capture
- Develop customized machine learning and AI algorithms
- Develop dashboards in PowerBI
- Identify business opportunities using data
- Mine and analyze data
- Partner with product and engineering leaders
- Provide technical direction to team members
- Translate insights into actionable recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Amazon Web Services | Artificial Intelligence | Azure | CI/CD | Cause analysis | Classification | Clustering | Computer Vision | Customer Segmentation | Data Cleansing | Data Exploration | Data Imputation | Data Preprocessing | Data Transformation | Decision Trees | Deep learning | Demand forecasting | Django | Docker | Feature Selection | Flask | Inventory optimization | K-Means | Langchain | Machine Learning | Mean Variance | Model Deployment | Multivariate Regression | Nearest neighbors | Neural Networks | Outlier Detection | Price elasticity | Python | RAG | Random Forest | Recommendation Systems | Root Cause Analysis | Root cause | Series forecasting | Statistical Methods | Supply Chain | Supply Chain Analytics | Support Vector Machines | Time Series | Time Series Forecasting | Uncertainty Analysis | Vector machines | Web Applications | Web Services
Education
Roles
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