> Markdown version of [/jobs/ext/4294745-audit-chief-data-office-data-scientist](https://www.wearedevelopers.com/jobs/ext/4294745-audit-chief-data-office-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Audit Chief Data Office - Data Scientist - **Company:** JPMorgan Chase & Co. - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Big Data, Computer Programming, Data Mining, Query Languages, R (Programming Language), Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, SAS (Software), SQL Databases, Tableau (Software), Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Low Latency, Data Analytics, Tools for Reporting, Alteryx - **Published:** October 2, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2993725592-2 ## About the Role * Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 3+ years of experience. * Exceptional analytical, quantitative, problem-solving, and communication skills. * Intellectual curiosity for solving business problems. * Leadership and collaboration skills. * Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL). * Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails). * Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx). * Ability to convey complex information to technical and non-technical audiences. Preferred Qualifications, Capabilities, and Skills: * Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency. * Understanding of key drivers of Risk & Control Frameworks * M.S. degree or equivalent. To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT). ## Description Join our Audit Data Strategy Team as a Data Science Associate, where you'll have the opportunity to impact the Audit business through data-driven solutions and insights. This role offers career growth and the chance to work on strategic, high-visibility projects. As a Data Science Associate in the Audit Data Strategy Team you will develop AI/ML solutions to influence how risk is identified, assessed, and mitigated across the firm. You'll also design and implement advanced AI/ML solutions to enhance control testing and support strategic initiatives and deliver actionable insights. Collaborate with partners across the Audit business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies., * Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI. * Drive data science and analytics strategies, including recommendations on analytical products and standards. * Help partners define business problems and scope analytical solutions. * Build an understanding of problem domains and available data assets. * Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods. * Perform exploratory statistics and data mining tasks on diverse datasets. * Communicate findings and obstacles to stakeholders to drive delivery to market. * Develop subject matter expertise in financial and operational domains. * Code solutions with strong programming skills. * Collaborate across teams to deliver the best solutions for clients.