Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
The Data Scientist is an individual contributor that should be able to apply quantitative, data science and analytical skills to complex problems. He/she should be able to work across teams to design, develop, and evaluate and execute against those data science and analytical solutions with a keen functional understanding of the business problem. He/she will be responsible for data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions.
The position will serve as a thought leader including advising on optimal solutions and opining on challenger models. The role works on strategic, highly visible projects firm wide. It is an opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.
In Corporate Technology Machine Learning at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across all the corporate functions, including Risk, Compliance, Finance, HR, Legal, and Audit.
This role requires a wide variety of strengths and capabilities, including:
For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase