Major responsibilities:
• Understand the business reality and discover actionable insights from large volumes of data.
• Develop statistical and machine learning models to identify theft, fraud, abusive, or wasteful transactions.
• Innovate by adapting new modeling techniques and procedures
• Use code (Python, SQL, etc.) to analyze data and build statistical and machine learning models and algorithms.
• Identify and prevent theft, fraud, abusive and wasteful transactions.
• Partner with developers and business teams to test your models in production.
• Experience in software development of large-scale data infrastructure and distributed systems
• Experience in data extraction, transformation, statistical analysis and data modeling
• Experience developing enterprise software using Java or Python
• Experience in applying Data Mining and Machine Learning techniques to solve business problems
• Experience using major RDBMS, Hadoop, Spark, Elasticsearch, or similar technologies
• Experience with statistical modeling tools such as R, SAS, SciKit-learn, or TensorFlow
• Bachelor’s degree in Computer Science, Computer Engineering, Machine Learning, or related field or equivalent experience.
• Master’s degree in Computer Science, Computer Engineering, Machine Learning, or related field; PhD a plus
• Deep expertise in Statistics, Machine Learning or related disciplines
• Advanced knowledge in performance, scalability, numerical accuracy, enterprise system architecture, best practices.
• Experience building solutions using AWS big data and machine learning services
• Ability to communicate complex technical concepts and solutions to all levels of the organization
