Data Scientist

Responsiblties:

• Work with large and complex data sets to solve unstructured problems using different analytical and statistical approaches for multiple products independently.
• Lead sourcing, ingesting, and cleaning of data sets in preparation for analysis, and assist more experienced data scientists to productionize and scale data cleanup process.
• Ensure data is stable, accounting for complex data drift in development and production.
• Build complex econometric, statistical and machine learning models for various problems inclusive of classification, clustering, pattern analysis, sampling, and simulations.
• Commit complex code into model repository and promote complex models into production system.
• Develop champion/challenger models and adjust models accordingly. Implement framework for building self-healing models.
• Select and refine models, taking into account performance, reliability and stability metrics and business feedback.
• Draft model refinement educational materials for data users.

Key Skills:

• Critical thinking. 
• Effective communication.
• Proactive problem solving.
• Intellectual curiosity. 
• Business sense.