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Tech Stack
Tools & technologiesAWSKerasPythonPyTorchScikit-LearnSparkSQLTableauTensorflow
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLmachine learningDecision TreesSVMGBMsregressiondeep learningmetaheuristic algorithmsmulti-level forecasting
