Senior Data Scientist (8 to 11 Years)
Tasks
- Build recommender systems
- Collaborate with engineering and product to implement models
- Conduct statistical and machine learning research
- Deliver churn modeling solutions
- Deliver customer segmentation and targeting solutions
- Deliver propensity modeling solutions
- Design solution architecture and scoping
- Develop end-to-end data science pipelines
- Forecast outcomes using time series modeling
- Generate insights and data visualizations
- Implement analytical solutions
- Monitor and maintain machine learning models
- Optimize marketing mix using statistical models
- Optimize pricing using statistical models
- Perform EDA and modeling
- Research and prototype innovations
Perks/Benefits
- N/A
Skills/Tech-stack
Bayesian Methods | Clustering | Command Line | Command-line Tools | Computer Vision | Data Visualization | Deep learning | Dimensionality Reduction | EDA | GLM | GLMM | Language Processing | Linux | Machine Learning | MongoDB | Natural Language | Natural Language Processing | NoSQL | Probability theory | Python | R | RDBMS | Random Forest | Recommender Systems | Regression | SEM | Series modeling | Statistics | Support Vector Machines | Time Series | Time Series Modeling | Vector machines | XGBoost
Roles
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