Data Scientist (AI)
Securities and Exchange CommissionThe Division of Trading and Markets seeks a dynamic Data Science expert for its SK-16 Data Scientist (AI) position. You will use modern data science, quantitative models, and analytical tools to interpret financial and market data, improve workflows, and advance the SEC's data-driven initiatives. This role blends technical, financial, and legal expertise with strong collaboration and communication skills.In this role as a Data Scientist (AI), you will: Function as a senior advisor and be recognized as a subject matter expert in the science of data analysis, text analytics, artificial intelligence, and machine learning for the assigned SEC organization. Develop and prepare guidance on a variety of complex data science issues which have been referred to because of the complexity or sensitivity of the topics involved, precedent setting implications, short suspense time for response, deviation from established regulations, or other unusual actions. Monitor technological developments and industry trends that impact SEC operations utilizing and developing technological tools or analytical methods and models, anticipating trends and practices in the industry and develop novel and non-traditional pro-active approaches to data related challenges, maintaining productive working relationships with other offices within the SEC, Federal and state agencies and with industry. Collaborate with leadership and senior staff on the design, development, and execution of highly complex projects/studies; the conduct quantitative and qualitative analyses and evaluations by Division/Office staff; the design, development, maintenance, and modification to datasets and quantitative standards, models, metrics and reports that support a variety of data analysis areas; the implementation of new models, metrics and reports; and provide advice and assistance and recommendations concerning methods and procedures as applied to analysis of data or to the development of analytical standards, models, products, and solutions and related technology. Identify and develop ways to resolve problems or cope with data science related issues that affect the accomplishment of organizational goals and objectives. Plan and carry out projects to provide comprehensive data science-related services on a variety of highly complex interrelated issues. Conduct fact-finding analysis of issues surrounding the matter at hand to identify and clarify problems or relevant issues and communicate the results of the analysis with a wide variety of audience clearly and in a timely manner
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