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Senior Associate Data Scientist

JPMorganChase

Salary not specified
Oct 31, 2025
Brooklyn, NY, US
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JPMorganChase is looking to tie analytics to business results by leading analytical strategies with a Data Scientist Associate Senior within the Consumer and Investment Banking Financial Analytics team.

Requirements

  • Proficient programming skills in python and knowledge of software engineering best practices
  • Strong knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)
  • Understanding of the main deep-learning frameworks such as PyTorch, TensorFlow, Keras
  • Experience with Linux and shell scripting and experience with LaTeX
  • Solid understanding of traditional data science techniques and experience with data engineer pipelines for big data
  • Solid knowledge of RNNs, and LSTMs models.
  • Experience in big data platforms such as Databricks, AWS EMR, Sagemaker, Apache Glue, Spark, etc.

Responsibilities

  • Develop and deploy machine learning models and generative AI capabilities.
  • Design, code, test, and debug applications.
  • Develop insights, methods, or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc.
  • Handle large amounts of data from multiple and disparate sources, employing advanced Python and SQL techniques to ensure efficiency and accuracy.
  • Solve complex problems and handle ambiguity with strong analytical skills.
  • Manage project lifecycle and software development deliverables.
  • Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols.

Other

  • Bachelors or Masters Degree in Finance, Quantitative Finance, Data Science, Economics, or a related field.
  • Collaborate with cross-functional teams to achieve common goals.
  • Keep stakeholders informed on development progress and benefits.
  • Competitive total rewards package including base salary determined based on the role, experience, skill set and location.
  • Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.