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.
· 5+ years of experience in software development of large-scale data infrastructure and distributed systems
· 5+ years of experience in data extraction, transformation, statistical analysis and data modeling
· 5+ years of experience developing enterprise software using Java or Python
· 3+ years of experience in applying Data Mining and Machine Learning techniques to solve business problems
· 3+ years of experience using major RDBMS, Hadoop, Spark, Elasticsearch, or similar technologies
· 3+ years of 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
