Data Scientist

Key Responsibilities

• Building Machine Learning models using your core expertise.
• Collaborate with Product and Business to define the Machine Learning product, focus on Personalization and Financial Services.
• Collecting, cleaning, preparing data at large scale for modeling.
• Adding new features, exploring new approaches to keep pushing the model performance.
• Participating in productionizing Machine Learning models for live production.
• Designing, conducting A/B tests and analyzing the results for experiment insights.
• Building pipelines for continuously validating and updating models.

Requirements

• 3 years working experience with 2 years hands-on with ML, or 2+ years with Ph.D. degree.
• Good understanding of mathematical foundations of Machine Learning algorithms.
• Have practical experience in applying Machine Learning in personalization, user behavior analysis.
• A builder. You go the extra mile to bring your prototypes to production.
• Strong product ownership. You take a high responsibility for what you build. You keep a high bar for product quality.
• Strong collaboration skills. You reach out to help other team members.
• Experience with credit scoring or financial service models is a plus.