Chris J.
About Chris J.
Chris J. is a Senior Data Scientist with a background in financial engineering, statistics, and actuarial science. He has worked at notable companies such as Amazon, Credit Karma, and BMO Financial Group, and has expertise in deploying machine learning models.
Work at Credit Karma
Chris J. holds the position of Senior Data Scientist at Credit Karma, where he has been employed since 2021. His role involves leveraging his expertise in machine learning to develop scalable solutions. He focuses on Model as a Service, which emphasizes the deployment of machine learning models in a way that allows for easy scalability and accessibility. His contributions are integral to the data-driven decision-making processes at Credit Karma.
Current Role at Amazon
In addition to his work at Credit Karma, Chris J. has been a Data Scientist at Amazon since 2022. His responsibilities include analyzing data and developing models that enhance operational efficiencies. His experience in the tech industry contributes to Amazon's data initiatives, particularly in Canada, where he has been based for the past two years.
Previous Experience at BMO Financial Group
Before joining Amazon, Chris J. worked at BMO Financial Group as a Senior Manager in Data Science from 2020 to 2021. In this role, he oversaw data science projects and led teams to implement data-driven strategies. His experience in the financial sector provided him with insights into the application of data science in finance.
Background in Data Science at Travelers
Chris J. began his career in data science at Travelers, where he served as an Associate Data Scientist from 2016 to 2020. During his four years there, he gained valuable experience in data analysis and model development. This role laid the foundation for his subsequent positions in data science and management.
Education and Expertise
Chris J. holds a Bachelor of Science degree from Peking University (PKU) and a Master of Science degree from Simon Fraser University (SFU). His academic background includes a focus on financial engineering, statistics, and actuarial science. He possesses expertise in deploying machine learning models using Pivotal Cloud Foundry, which enhances his ability to deliver scalable data solutions.