Data Scientist (USA-Remote)

1+ years of applied end-to-end industry experience, including internships working with complex datasets Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions Ability to frame and answer questions mathematically Ability to infer useful forward-looking directions from results of retrospective analysis Fluency in managing, processing, and visualizing tabular data using SQL, Pandas, and R Basic software development skills and experience with bash, linux/unix, and git Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)

Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders Perform extemporaneous analyses on research and production trading systems with leadership Harness financial expertise and statistical analysis to gain actionable insights into production trading and research systems Design and implement analysis pipelines that automate valuable ongoing monitoring analyses