JPMorgan Senior Associate Data Scientist 

Philippines, Quezon City 

880509015

Job Responsibilities:

• Recognizes and communicates meaningful trends/patterns in data and reporting
• Identifies and validates data sources and serving as a data expert and consultant to the predictive modeling team
• Advises business and technology partners on data-driven opportunities to increase efficiency and improve customer experience
• Interfaces proactively with, and gathering information from, other areas of the business (Operations, Technology, Finance, Marketing)
• Extracts data from various sources and technologies using complex SQL queries

Required qualifications, capabilities and skills:

• Understand the problem statements, find the best course of action, and be creative.
• Collaborate with the business, developers, managers, and other stakeholders to implement the models, deliver the analytics, and integrate the new discoveries into existing models.
• Learn quickly about different aspects of the business as well as different modeling methods.
• Evaluate and monitor the performance of the new and/or existing models.
• Continuously improve the models and automate the reports and procedures.
• Explore new data, techniques, and environments in order to enhance current models and processes.
• Articulate the model results and analytical findings in concise and clear manner using presentations and visualizations.

Preferred qualifications, capabilities and skills:

• Advanced degree in analytical fields (e.g. Computer Science, Data Science, Engineering, Statistics, Data Analytics, Applied Mathematics)
• Working knowledge on both supervised and unsupervised machine learning algorithms. Experience working with XGBoost, Random Forest, and Deep Learning.
• Experience with various modern analytics and data tools specially Python and SQL. Experience in AWS, R, Alteryx, SPSS Modeler, or SAS.
• Strong knowledge and experience on model evaluation methods and techniques.
• Being excellent in teamwork, problem solving, and out-of-the box thinking.
• Experience with data visualization techniques and big data technologies.
• Excellent written and oral communication and presentation skills with experience on documenting the models and procedures in an organized manner.