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VP, Data Scientist Lead

Plano, TX, USA | J.P. Morgan

  • Industry:
    Financial Services
  • Position Type:
  • Functions:
    IT / Information Technology
  • Experience:
    5-7 years
Job Description:
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Provide thought leadership for analytics and Big Data projects on best practices, methods and tools

Develop, plan, and execute analytical projects as an individual contributor and in teams

Synthesize analytical findings for consumption by senior business executives

Become trusted advisor and thought leader on business data and analytical techniques

Establish and manage relationships with clients and internal partners

Deliver rapid and scalable solutions that unlock value across CCB and enhance capabilities of existing CCB teams through collaborative partnerships

Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones

Manage teams of data scientists

Recruit the best and diverse talent for the team

Manage, develop and retain talent by creating an environment of open communication and fair performance assessment, promotion and compensation as well as provide the team with the resources, support and opportunities to excel

Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior


5+ years of industry experience in data science or business analytics roles (e.g., marketing analytics, sales analytics, business insights)

Bachelor’s degree in relevant quantitative field required, advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Experience of leading teams with a proven track record of being driving value for the business; Direct people leadership experience desired

Thought leader in data science and/or analytics who can help our internal clients define their business problem, create solutions to address it, plan and execute the implementation

Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner to senior executives

Expert knowledge in quantitative methods for business and advanced data science

Experience across broad range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python, R)

Financial services background preferred, but not required

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