Data Scientist

Responsibilities:

• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports.
• Apply existing knowledge, grid search and hyperparameter tuning to decide the best parameters to use for any given model.
• Build and deploy ML models into production using Python and its suite of libraries for data science.
• Collaborate with software team to implement a model deployment and monitoring platform.
• Monitor key model metrics, to determine when best to retrain models as a result of model drift once models are deployed to production. Investigate the source of changes in model performance and integrate that understanding into ongoing modeling decisions.
• Collaborate with R&D department and IT colleagues.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization.
• Cloud computing. 
• Interpersonal skills.