{"id":4009765,"url":"https://alion.io/job/usajobs-data-scientist-5","title":"Data Scientist","company":{"id":50807,"name":"USAJOBS","domain":"usajobs.gov","url":"https://alion.io/company/usajobs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sacramento, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":79000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"closed","first_seen_at":"2026-11-10T05:30:31Z","employer_posted_date":null,"last_verified_at":"2026-11-10T15:20:55Z","board_verified":false,"closed_at":"2026-11-10T15:20:55Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Farm Credit Administration is hiring a Data Scientist in its Office of Data Analytics and Economics. The role researches developments affecting the Farm Credit System and develops and maintains analytical tools and models to evaluate financial and economic impacts.\n\nResponsibilities\nAs 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:\nArchitecting, deploying, and managing super intelligence (SI) and machine learning (ML) projects independently from conception to production, leveraging full-lifecycle expertise within the Databricks ecosystem\nDeveloping, optimizing, and troubleshooting data and ML workflows utilizing PySpark, Spark SQL, and Delta Lake\nBuilding and deploying autonomous agents for conversational data intelligence\nDesigning and implementing custom Retrieval-Augmented Generation (RAG) pipelines\nAnalyzing a variety of data sources to provide data-driven insights to the organization\n\nSkills\nA 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\nCombination 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\nOne 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\nOne 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\nOne 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\nExpert 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\n\nCompany Overview\nUSAJOBS enables federal job seekers to access job opportunities across hundreds of federal agencies and organizations. It was founded in 1996, and is headquartered in Washington, District of Columbia, USA, with a workforce of 10001+ employees. 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