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JPMorgan Data Scientist Lead - Vice President 
United States, Texas, Plano 
365302281

Yesterday

Job Responsibilities

  • Communicate and interface with senior stakeholders, leveraging a blend of analytical skills and business acumen to drive impactful results that inform strategic decisions.
  • Commit to iterative development, with a proven ability to engage and update stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle.
  • Own project and development from inception to completion, encompassing tasks such as gathering detailed requirements, data preparation, model creation, result generation, and data visualization.
  • 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
  • Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols

Required qualifications, capabilities, and skills:

  • PhD or MSc. in a scientific field (Computer Science, Engineering, Operations Research, etc.) plus 6 years or more of experience in producing advanced analytics work with an emphasis in optimization
  • Strong proficiency in statistical software packages and data tools, including Python and SQL
  • Strong proficiency in Advanced Statistical methods and concepts, predictive modeling, time series forecasting, text mining
  • Strong proficiency in Data Mining & Visualization
  • Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc.
  • Strong story telling capabilities including communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization
  • Strong commitment to iterative development, with a proven ability to engage and update stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle.

Preferred qualifications, capabilities, and skills:

  • Financial Service industry experience preferred
  • Experience / Understanding of Cloud Storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases)
  • Tableau experienced preferred\

*** Relocation is not offered/supported for this