Join the Team! The Data Intake and Injury Information Branch in the Division of Hazard and Injury Data Systems is seeking a Statistician (Data Scientist). The Division has primary responsibility for planning, development, implementation, evaluation and quality control of injury data collection programs. The Division is responsible for designing, implementing, and operating the various national data systems used by the Commission to collect, maintain, and assure quality data.

Duties

The Statistician (Data Scientist) will be responsible for performing the following duties:

Requirements

• U.S. Citizenship Required.
• Background Investigation Required.
• Must meet education requirements.

Qualifications

In addition to the mandatory education requirement, all applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the candidate with the particular knowledge, skills, and abilities to perform successfully the duties of the position. Qualifying specialized experience must demonstrate the following:   GS-11: 1) Using software to write programs to conduct data quality checks, detect abnormalities, and create data summaries and reports; 2) applying statistical techniques to analyze datasets; 3) developing data for sampling, maintaining a statistical sample, or conducting data collection activities with minimal assistance; 4) assisting with developing new studies, surveys or data collection methods; and 5) experience with preparing operating procedures or training materials. GS-12: 1) evaluating, linking and integrating data from complex statistical survey, census data, or other large data sets; 2) using of statistical and/or data processing software/programs to create data collection, quality control and/ or data processing; 3) managing, developing or monitoring study components such as training materials, programming specifications, end user requirements etc.; and 4) assisting in the analysis, writing related reports and making professional presentations. GS-13: 1) applying statistical theory and techniques to analyze, plan and organize data collection and processing efforts for large censuses, surveys or data collection efforts; 2) independently leading a team to conduct stakeholder analysis of a software development project; 3) knowledge of statistical modeling for maintaining supervised and unsupervised machine learning algorithms; and 4) planning statistical analyses, writing related reports and making professional presentations on such. Evidence of the above specialized experience must be supported by detailed documentation of duties performed in positions held.  Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience. We will not make assumptions regarding your experience or based on job titles alone.  If your resume does not support your questionnaire answers, we will not allow credit for your response(s). 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, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Applicants must meet the qualifications for this position by the closing date of this announcement.

Education

Mandatory Education Requirement. All applicants must meet one of the following requirements to qualify:

A. 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. 

OR

B. 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.

Applicants may substitute education for experience at the GS-11 grade level only as defined below.  

GS-11: Ph.D. or equivalent doctoral degree or 3 full years of progressively higher-level graduate education leading to such a degree or LL.M., if related OR 1 year of specialized experience equivalent to a GS-9.

GS-12: There is no substitution for specialized experience for this grade level. Applicants must have 1 year of specialized experience (as stated above) equivalent to at least the GS-11 grade level.

GS-13: There is no substitution for specialized experience for this grade level. Applicants must have 1 year of specialized experience (as stated above) equivalent to at least the GS-12 grade level.

You MUST provide transcripts to support your educational claims. Unofficial transcripts are acceptable during the application process. Official transcripts will be required upon appointment.

All education claimed by applicants will be verified. 

All materials must be submitted by the closing date of this announcement.

Contacts

• Address CONSUMER PRODUCT SAFETY COMMISSION Consumer Product Safety Commission Office of Human Resources Management 4340 East West Highway Bethesda, Maryland 20814 United States
• Name: HR Specialist
• Phone: 301-504-7925
• Email: [email protected]