Data Scientist (Branch Chief) bei Department of Agriculture

Not Required

Duties

Responsible for the overall direction and accomplishment of Branch analytical assignments and functions.,Develops, exhibits, and applies clear understanding of Branch analytical output and associated data.,Assign work to Branch members, ensures the development of project plans with necessary and realistic milestones and deliverables.,Assists in the development of performance standards and uses them to fairly evaluate the performance of subordinate employees.,Holds employees accountable for accurate and timely completion of tasks.,Identifies training needs, resolves complaints and grievances fairly at the lowest possible level.,Utilizes a variety of languages and tools (e.g., R, Python, SQL) to build data pipelines to pull together information from different source systems.,Coordinates with staff and members of other organizational areas to understand project requirements and facilitate improved customer service.,Collaborates with specialists in diverse fields to fulfill operational data and analytical needs.,Provides directions to subordinates on appropriate coding and statistical techniques to solve specific problems.

Qualifications

Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience and/or education, as defined below. For the GS-14 level: Applicants must have one year of specialized experience (equivalent to the GS-13 level) that demonstrates: Creating and maintaining automated data pipelines to support data ingestion, transformation, and delivery. Using Python in support of data analytics projects, which could include applying libraries such as pandas, numpy or pyspark. Leading a team or cross-functional group to accomplish a significant project or initiative. This includes setting goals, coordinating tasks, evaluating work products, and providing technical advice and guidance on items such as analytical coding or methodologies, statistical analysis, or visualization development. Developing oral and written presentations and communicating complex and technical analyses to inform, influence, and persuade a variety of audiences. 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.

Education

Statistics Series 1530 Basic Requirements: Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. or Combination of education and experience: courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. Click here for more information on this series: OPM Statistics Series 1530 Computer Science Series 1550 Series Definition: This series includes professional positions which primarily involve the application of, or research into, computer science methods and techniques to store, manipulate, transform or present information by means of computer systems. The primary requirements of the work are (a) professional competence in applying the theoretical foundations of computer science, including computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations; (b) specialized knowledge of the design characteristics, limitations, and potential applications of systems having the ability to transform information, and of broad areas of applications of computing which have common structures, processes, and techniques; and (c) knowledge of relevant mathematical and statistical sciences. Basic Requirements: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. Evaluation of Education: Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable. Click here for more information on this series: OPM Computer Science Series 1550 Data Science Series 1560 Basic Requirements: 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. Click here for more information on this series: OPM Data Science Series 1560

Other Information

Career Transition Assistance Plan (CTAP), Reemployment Priority List (RPL), or Interagency Career Transition Assistance Plan (ICTAP): Visit the OPM website for information on how to apply as a CTAP, RPL, or ICTAP eligible. To exercise selection priority for this vacancy, CTAP/RPL/ICTAP candidates must meet the basic eligibility requirements and all selective factors. CTAP/ICTAP candidates must be rated and determined to be well qualified (or above) based on an evaluation of the competencies listed in the How You Will Be Evaluated section. When assessed through a score-based category rating method, CTAP/ICTAP applicants must receive a rating of at least 85 out of a possible 100. Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact: USDA's TARGET Center at 202-720-2600 (voice and TDD). It is the policy of the Government not to deny employment simply because an individual has been unemployed or has had financial difficulties that have arisen through no fault of their own. To see more information visit CHCO Council. This announcement may be used to fill additional like vacancies should any occur in the announced duty location(s). If selected, you will be required to submit Form OGE-450 within 30 days of your initial appointment date, and annually thereafter. Selectee is subject to financial Disclosure Requirements in accordance with 5 CFR, Part 2635, Sub part E regarding business or personal transactions with applicants, borrowers, or business contacts who have or who are seeking business with this Agency. Veterans Policy