Senior ML Leader — End-to-End Data Science

JobCubby

Plano (TX)

On-site

USD 180,000 - 250,000

Full time

14 days+
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Job summary

JPMorganChase is seeking a Senior Manager, Applied Machine Learning - Vice President to lead data science efforts within the Consumer and Community Banking Data Science organization. You will partner with business leaders, frame problems, and deliver end-to-end ML solutions from experimentation to production deployment.

The role requires deep ML theory, hands-on modeling, and the ability to influence senior stakeholders.

Qualifications

  • Master's degree with 8+ years or PhD with 6+ years in a quantitative field.
  • 5+ years of direct people leadership experience.
  • Hands-on experience building statistical/models/AI models.
  • Deep understanding of AI/ML math and theory beyond empirical validation.
  • Proficiency in Python, R, or Scala.

Responsibilities

  • Define the data science vision, strategy, structure and roadmap for the organization.
  • Manage a team of contributors, mentoring and growing talent.
  • Attract, develop and retain data science talent to enhance value.
  • Oversee design and development of ML/AI and statistical models.
  • Ensure robustness and explainability of data science solutions.
  • Communicate recommendations clearly and tell the data story to stakeholders.
  • Lead and influence decisions by framing business problems as technical solutions.

Skills

Leadership
Python/R/Scala
Statistics/ML theory
Big data tech (Hadoop/Spark)
Model deployment/monitoring
Stakeholder collaboration
Communication to executives

Education

Master's in quantitative field
PhD in a relevant field

Tools

SQL/Hive
SparkML

Job description

JPMorganChase is seeking a Senior Manager, Applied Machine Learning - Vice President to lead data science efforts within the Consumer and Community Banking Data Science organization. You will partner with business leaders, frame problems, and deliver end-to-end ML solutions from experimentation to production deployment.

The role requires deep ML theory, hands-on modeling, and the ability to influence senior stakeholders.

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