JPMorgan Data Scientist Lead- Vice President 

United States, Texas, Houston 

860505225

Job Responsibilities

• Lead the build-out of the Country Risk Team’s new data analytics capabilities
• Help to protect the firm by developing new insights that will support senior management in making key country decisions
• Become an expert in the data used by the team, including the ability to efficiently and creatively transform that data into insights
• Develop potential machine learning use cases for the team, to apply to tasks such as data analytics, NLP, time-series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production

Required Qualifications, Capabilities, And Skills

• Master’s degree in a data science-related discipline, plus at least six years of industry experience (or: PhD in a data science-related discipline, plus at least three years of industry experience)
• Extensive experience with data transformation (especially in Python) and analytics
• Hands-on experience with machine learning and deep learning toolkits (e.g. TensorFlow, PyTorch, Scikit-Learn), with some industry experience in implementing them preferred
• Experience with continuous integration models and unit test development
• Strong written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred Qualifications, Capabilities, And Skills

• Familiarity with the financial services industry and Risk management
• Background in NLP and analytics, personalization/recommendation
• Knowledge in search/ranking, Reinforcement Learning or Meta Learning
• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code