Data Scientist
Tasks
- Apply advanced statistical analysis
- Build and deploy supervised and unsupervised machine learning models
- Clean aggregate and analyze large datasets
- Collaborate on MLOps workflows
- Conduct hypothesis testing and sampling
- Design recommender systems
- Implement feature engineering
- Lead development of data driven solutions
- Perform ensemble modeling
- Support CI CD pipelines for model training and testing
- Work in Agile framework
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Attribution Analysis | Backpropagation | Bayesian optimization | CI/CD | Component analysis | Data Quality | Data cleaning | Deep Neural Networks | Deep learning | Descriptive Statistics | Ensemble learning | Feature Engineering | Generalized Linear Models | Gradient Boosted Machines | Hypothesis Testing | Language Processing | Lasso Regression | Linear Models | MLOps | Machine Learning | Multivariate Segmentation | Natural Language | Natural Language Processing | Neural Networks | Principal Component Analysis | PySpark | PyTorch | Python | R | Random Forest | Recommender Systems | Ridge regression | SQL | Sampling | Scala | Unsupervised Learning | XGBoost
Education
Roles
Regions
Countries
States
Cities
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