Key skills
AWSKerasPythonPyTorchScikit-LearnSparkSQLTableauTensorflowMachine LearningDeep LearningTensorFlowscikit-learnXGBoostMLflowSnowflakeDatabricksSageMaker
About this role
Role Overview
- Developing large scale & high impact analytical / data science products
- Understand & derive insights from structured & unstructured data
- Build metaheuristic algorithms for optimal data insights
- Multi-level forecasting algorithms to predict user trends
- Implementation of end to end data science products
Requirements
- 5+ Years Required; 7+ Years Preferred
- Python and SQL proficiency
- Machine learning (Decision Trees, SVM, GBMs, regression)
- Deep learning frameworks (TensorFlow, Keras, PyTorch)
- Libraries: scikit-learn, XGBoost
- Databricks/Spark and Snowflake experience
- MLflow
- AWS SageMaker or similar deployment platforms
- Tableau for visualization
Tech Stack
- AWS
- Keras
- Python
- PyTorch
- Scikit-Learn
- Spark
- SQL
- Tableau
- Tensorflow
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development