Description du poste
As a Data Scientist, you will be responsible for researching developments in finance, banking, food sector, and general and rural economy; and developing and maintaining tools and models for evaluating financial and economic impacts on the performance of Farm Credit System (FCS). This position is located in the Office of Data Analytics and Economics.
PRINCIPALES MISSIONS :
As a Data Scientist you will apply advanced quantitative, computer science, mathematical, and statistical skills to interpret large structured and unstructured data sets to support financial and economic analyses of factors impacting FCS institutions or the System and changes in finance, banking, food sector, and general and rural economy. Specific duties include: Architecting, deploying, and managing super intelligence (SI) and machine learning (ML) projects independently from conception to production, leveraging full-lifecycle expertise within the Databricks ecosystem. Developing, optimizing, and troubleshooting data and ML workflows utilizing PySpark, Spark SQL, and Delta Lake. Building and deploying autonomous agents for conversational data intelligence. Designing and implementing custom Retrieval-Augmented Generation (RAG) pipelines. Analyzing a variety of data sources to provide data-driven insights to the organization.
QUALIFICATIONS REQUISES :
Desired Qualification: Expert knowledge of and experience with using cloud-based data analytics, data engineering, or machine learning platforms, such as Databricks with hands-on experience utilizing Spark/PySpark, Delta Lake, or similar technologies, to independently develop, optimize, and maintain data workflows. Basic Requirements: A bachelor's or higher degree in Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. In addition to meeting the basic requirements, you must meet the specialized experience statement noted below. You qualify at the VH-38 (GS-12) level if you have one year of specialized experience equivalent to at least the VH-37 (GS-11) level in the Federal service, or comparable experience not gained through Federal service. Specialized experience is experience that has equipped you with the knowledge, skills, and abilities to perform the duties of the position. Examples include analyzing data to identify risks, trends, or opportunities; conducting research and evaluating economic, financial, banking, agricultural, or related issues; and developing, maintaining, or using data analytics, machine learning, or data engineering tools to support business decisions. You qualify at the VH-39 (GS-13) level if you have one year of specialized experience equivalent to at least the VH-38 (GS-12) level in the Federal service, or comparable experience not gained through Federal service. Specialized experience is experience that has equipped you with the skills, and abilities to perform the duties of the position. Examples include analyzing data to identify risks, trends, or opportunities; conducting research and evaluating economic, financial, banking, agricultural, or related issues; and developing, maintaining, or using data analytics, machine learning, or data engineering tools to support business decisions, and leading projects while providing technical direction. You qualify at the VH-40 (GS-14) level if you have one year of specialized experience equivalent to at least the VH-39 (GS-13) level in the Federal service, or comparable experience not gained through Federal service. Specialized experience is experience that has equipped you with the knowledge, skills, abilities and leadership to perform the duties of the position. Examples include analy