An application made for this job — a tailored resume and cover letter that speak straight to the posting.
The USDA Office of the Chief Information Officer (OCIO) invites applicants for a GS-12 level data analyst role located in Los Angeles, CA. The position supports operational decision making by performing mathematical and statistical analyses, compiling large data sets, and applying programming languages to data analysis tasks.
Qualifications include a bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science or a related field; or a combination of education and experience with
This position is located in USDAs Office of Chief Information Officer (OCIO),
This announcement is issued under the direct-hire authority to recruit for positions for which there is a critical need. Selectee(s) will receive a career or career-conditional appointment in the competitive service and may be required to serve a one-year probationary period. Category rating, veteran's preference and traditional rating and raking of applicants do not apply to this public notice.
All applicants must meet the Basic Education Requirement.
Degree: 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.
At the GS-12: Qualifying experience for GS-12 includes one year of specialized experience comparable to GS-11 which is directly related to the work of this position, and which has equipped the applicant with the knowledge, skills, and abilities to perform successfully the duties of the position.
For this position, specialized experience is experience: 1) Performing mathematical and statistical analysis to support the formulation of operational decisions as a team member; 2) Compiling large quantities of data and processing algorithms in support of business operations; 3) Utilizing programming languages to support data analysis, statistical analyses, and operational procedures.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.