Senior Data Scientist
Tasks
- Build adaptive risk systems
- Collaborate with ML engineers and business teams
- Deploy real-time inference models
- Detect and prevent fraud
- Develop machine learning models
- Explore new data structures and methodologies
- Monitor model performance and drift
- Perform data and feature engineering
Perks/Benefits
- Flexible work arrangements
- Health insurance
- Home office setup
- Laptop provided
- Learning and development budget
- Paid time off
- Snacks and meals
- Work Outside the Office
Skills/Tech-stack
Data Engineering | Feature Selection | Hadoop | Hyperparameter Tuning | Keras | Knowledge graphs | ML deployment | MLOps | Machine Learning | PyTorch | Python | SQL | Spark | SparkML | Statistical modeling | TensorFlow
Education
Roles
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