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JPMorgan Retention Marketing Senior Associate 
United States, New York, New York 
398915212

Today

Job Summary:


As a Data Scientist VP on the Home Lending Modelling team, you’ll join an organization that builds, implements, tests, and analyzes ML/AI products & solutions. Your ability to understand data relationships and take ownership of data-driven tasks will be key to your success. You’ll also develop approaches and/or processes to accomplish goals with an emphasis on A/B testing & advanced analytics. You’ll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business.

Job Responsibilities:

  • Design, implement, and analyze A/B tests to evaluate the effectiveness of various strategies, initiatives, and ML/AI models.
  • Collaborate with cross-functional teams to identify testing opportunities and develop hypotheses.
  • Ensure rigorous statistical analysis and interpretation of test results to inform business decisions.
  • Leverage a variety of statistical and mathematical techniques and algorithms to analyze datasets and solve complex business problems.
  • Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues.

Required Qualifications, Capabilities, and Skills:

  • 5+ years of experience working in an A/B testing and/or analytical role.
  • MS degree in a related field, such as Data Science, Applied Mathematics, Statistics, Engineering, Economics, or similar STEM discipline.
  • Experience using statistical programming languages (Python, R) to manipulate data and draw insights from large data sets.
  • Practical understanding of ML/AI.
  • Adept at explaining and converting complex concepts into digestible information for audiences at various levels of the business.
  • Strong storytelling capabilities.

Preferred Qualifications, Capabilities, and Skills:

  • Functional industry experience in finance, operations, sales, marketing, credit/risk, or technology.
  • Knowledge of the mortgage industry.