Key skills
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSparkSQLTensorflowRMachine LearningTensorFlowscikit-learnAnalyticsDatabricksGCPGoogle CloudCommunication
About this role
Role Overview
- Lead the development and optimization of churn prediction models to identify customers at risk of leaving
- Building scalable machine learning models
- Designing feature engineering pipelines
- Monitoring performance
- Collaborating with business teams to translate insights into retention strategies
Requirements
- Experience with Customer Churn Predictions
- Proficiency in Python/R, SQL, DataBricks and data manipulation libraries
- Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
- Strong background in feature engineering and large-scale data processing
- Knowledge of statistical modelling and predictive analytics
- Familiarity with cloud platforms (Azure, AWS, GCP) and big data tools (Spark, Databricks)
- Excellent communication for technical and non-technical audiences
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Python
- PyTorch
- Scikit-Learn
- Spark
- SQL
- Tensorflow
Benefits
- Learning budgets
- Internal bootcamps
- Certification bonuses
- Summit days