JPMorgan Data Scientist 

United States, Texas, Plano 

844340404

DESCRIPTION:

Duties: Create data pipelines needed to deliver new analytics products. Create and deliver custom analyses of payments data's financial cost according to client request. Design repeatable analytics insights for product development. Optimize existing data pipelines. Write and update automated jobs to implement data pipelines in python and SQL. Measure data quality at all stages of data pipelines. Design and implement automatic data quality monitoring on all data pipelines. Adhere to rigorous analytics quality controls in all development and adhoc analysis work. Create and preserve auditable artifacts for analytics and development work processes. Meet with clients and stakeholders to elicit requirements for new data insights products. Maintain business data models needed to support simulation and counterfactual analyses. Create and update code. Own and maintain components and subject areas in analytics insights products. Assess complex interchange costs and optimality applications. Interpret vendor documentation to develop reference models and applied models of cost and routing decisions. Meet with internal stakeholders and external clients at all stages of analytics product development. Independently deliver complex analytics work supporting the needs of the business using statistical methods. Telecommuting permitted up to 40% of the week.

QUALIFICATIONS:

Minimum education and experience required: Master’s degree in Information Technology and Management, Data Science, Computer Science, Mathematics, Analytics, Operations Research or related field of study plus 1 year of experience in the job offered or as Data Scientist, Software Developer, or related occupation.

Skills Required: Requires experience in the following: Simulation models; Distributed Computing in Hadoop using Hive and Spark; Software development in Python and SQL; MapReduce; Software development life cycle; Software architecture and design; utilizing SQL with big data including query optimization and analytic functions.