Data Scientist

• Take ownership of back-testing, implement new features, and train other team members
• Build and maintain alerts, dashboards, and metrics to monitor the performance of the portfolio
• Implement and scale data pipelines, new features, and algorithms that are essential to the production models
• Evaluate new data sources, present technical concepts and results in an audience-appropriate way
• Collaborate with departments and teams to define requirements for new products
• Identify, design, and implement internal process improvements by automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Improve the underwriting infrastructure, think through problems, evaluate approaches, encounter and solve challenges

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3-5+ years of relevant experience as a data scientist
• Strong skills with AWS and Python
• Solid expertise in machine learning and data science frameworks like Scikit-learn, Pandas, Numpy, XGBoost, TensorFlow, MLlib
• Strong proficiency with the AWS technical stack and data infrastructure such as MySQL, Spark, Kubernetes, Docker, and Airflow
• Demonstrated ability in machine learning with experience in areas like gradient boosting, deep learning, recommendation systems, computational advertising, reinforcement learning, etc