Senior Data Scientist – Machine Learning, Python, SQL & Azure

Senior Data Scientist Machine Learning Python & SQL

Skills and Responsibilities:

Build and evaluate models (regression classification etc.)

We are looking for an experienced Senior Data Scientist to support the AI CoEs Machine Learning and Data Science initiatives.

The ideal candidate will have strong applied machine learning statistical modeling analytics and analytical problem-solving experience with the ability to translate business problems into practical data science solutions.

They should have expert knowledge of SQL and Python along with hands-on experience in predictive modeling forecasting classification regression experimentation A/B testing feature engineering model evaluation and insights generation.

This is a highly analytical and hands-on role focused on delivering end-to-end data science solutions including data exploration data preparation feature engineering model development validation interpretation and communication of insights.

Experience with visualization tools such as Tableau Power BI or similar platforms is useful particularly for communicating model outputs trends and actionable insights.

Experience working in cloud-based data science environments including Azure Azure ML Databricks MLflow and related cloud technologies would be considered an asset.

Experience with use cases such as churn prediction member personalization recommendation systems marketing optimization anomaly detection and experimentation frameworks would be valuable.

In addition to technical depth we are looking for someone who can work independently collaborate effectively with data scientists ML engineers data engineers and business partners and help accelerate the delivery of enterprise AI and analytics solutions from exploration through production readiness.