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RESEARCH MATHEMATICAL STATISTICIAN

Department of Agriculture
Forest Service
This job announcement has closed

Summary

The USDA Forest Service has legislative authority to recruit and fill Permanent (Career/Career-Conditional), Temporary, and Term Appointments under the USDA Demonstration Project. Under this authority, any U.S. citizen may apply.
This position is located on [enter unit name, branch/division, etc].

This position is located the USDA Forest Service, Research Work Unit (RWU) FS-FPL-4851 (Economics, Statistics and Life Cycle Analysis Research) located at the U.S. Forest Products Laboratory in Madison, Wisconsin. 

For additional information about the duties of this position, please contact Richard Bergman at 608-231-9477 or e-mail rbergman@fs.fed.us.

This is a research scientist position and is classified under the scientist career plan. Research scientists have open-ended promotion potential. Research accomplishments and their impact on the duties and responsibilities of positions are evaluated periodically. The grade level is limited only by the individual's demonstrated ability to perform research of recognized importance to science and technology. Final grade level will be determined by a peer review panel. The purpose of the initial review panel is to determine the grade level upon entry into a position.

Candidates being considered for this research position should provide a list of publications for which you have been an author, co-author, or contributor.  If providing curriculum vitae, please incorporate all resume requirements identified in the REQUIRED DOCUMENTS section of this announcement, or submit a supplemental resume which includes all information required in addition to the curriculum vitae.

Overview

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Reviewing applications
Open & closing dates
06/04/2018 to 06/18/2018
Salary
$73,375 to - $73,375 per year
Pay scale & grade
GS 12 - 13
Location
Madison, WI
1 vacancy
Travel Required
Occasional travel - Travel may be required 3 to 4 times a year for training or meeting attendance.
Relocation expenses reimbursed
Yes—Entitlements for payment of basic moving expenses, as required and to the extent allowed by the Federal Travel Regulations (FTR) 302-3.101, are authorized for eligible applicants changing duty station when the change meets the distance tests as provided in FTR 302-1.1 and 302-2.6. In addition, the following relocation benefits are available: house hunting trip, temporary quarters and use of relocation services company. Other relocation benefits may be negotiated with selectee.
Appointment type
Permanent
Work schedule
Full-Time
Service
Promotion potential
13
Job family (Series)
Supervisory status
No
Security clearance
Other
Announcement number
18-SVQ2-RES-487261DP-DLG
Control number
500783400

This job is open to

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Duties

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Duties are listed at full performance level.

The Research Work Uunit mission is to provide economic information, analysis, and projections indicating how and why the markets and technologies for wood products change over time, implications for natural resources management, and selected broad environmental and social impacts; and to enhance the integrity and efficiency of the Forest Products Laboratory’s research efforts through development, evaluation, and application of modern statistical methods; and to provide life cycle analysis of the environmental impacts of wood-based products and uses.

The seven research problem areas assigned to RWU-FPL-4851, include: (1) applying statistical methods to enhance the quality of FPL's wood utilization research and economics research, and (2) developing new statistical tools and evaluating existing tools, (3) analyzing and modeling impacts on forest product markets of structural changes, technology changes, and policy changes, (4) understanding effects of production capacity trends, market trends and technology changes in wood industries and end use industries, (5) developing basic information about nationwide forest product market trends and timber uses, (6) providing knowledge about economic feasibility of new technologies for converting wood into new or improved wood products, and (7) evaluating the environmental impacts of wood-based product production and use including carbon mitigation benefits. A continuing complementary mission of the unit is to evaluate the forest sector role in sustainable management of natural systems.

The statistical portion of the mission is specifically addressed in problem areas 1 and 2. The statistics team members provide professional support to other subject-matter specialists by developing experimental designs for research problems, providing statistical analysis of experimental results, aiding in the interpretation of experimental results, helping to write the statistical sections of research papers, and providing statistical review of manuscripts. The team is responsible for: (1) initiation, planning, and execution of statistical and/or probabilistic research needed to solve forest products utilization problems, (2) research in partnership with other subject-matter specialists, which includes developing experimental designs and interpretation of experimental results throughout the research programs of the laboratory and (3) providing scientific and technical consultation, guidance, and assistance to the Director's staff, project leaders, and scientists on the application of statistical and mathematical methods.

The scientist’s work will focus on studies primarily under problem areas 1 and 2 of the unit.

Requirements

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Conditions of employment

You must be a US Citizen or US National

Males born after 12/31/59 must be Selective Service registered or exempt.

Successful completion of a one year probationary or trial period.

Satisfactory background investigation and/or finger print check.
 
ADDITIONAL REQUIREMENTS:

Selectee will be responsible for tax obligations related to payments for moving expenses - 2017 Tax Cuts and Job Act, Public Law 115-97.  Questions should be directed to the Travel Help Desk, 877-372-7248, Option 1, or email asc_tos@fs.fed.us.


Qualifications

You must possess the Basic Requirements identified below to be considered for all positions at the GS-5 grade level and above.  Transcripts must be provided with the application to validate that coursework requirements are met.

Degree:  Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree with a major field of study that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

OR

Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown above, plus appropriate experience or additional education.

Evaluation of Education:

Courses acceptable toward meeting the mathematics course requirement above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement.

Evaluation of Experience:

The experience offered in combination with educational courses to meet the requirements above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading.

In addition to meeting the basic requirements for the GS 12: described above, applicants must possess one year of specialized experience that is equivalent to at least the GS-11 grade level.   

Specialized experience is defined as
--applying statistical techniques and methods in a consulting environment on data sets from physical science, engineering, or biological science sources. Statistical techniques used must include inferential statistics, design of experiments, and mixed effects models. In addition, experience must include at least three of the following:  sample survey methods, nonparametric data analysis, multivariate methods, reliability analyses, non-linear regression, generalized linear models, simulation, and numerical optimization;
--adapting and/or developing statistical methods and/or theory to improve the statistical field as documented in a statistical thesis or refereed publication; AND
--writing statistical computer programs to generate analyses and data displays, including publication quality graphics. Experience must include the use of SAS, R, or other major statistical package and experience programming in a language such as Fortran, Java, C++ or C. OR - EDUCATION: Ph.D. or equivalent doctoral degree directly related to the work of the position. The education must have been obtained in an accredited college or university by the U.S. Department of Education and demonstrate the knowledge, skills, and abilities necessary to do the work.

In addition to meeting the basic requirements for the GS 13: described above, applicants must possess one year of specialized experience that is equivalent to at least the GS-12 grade level.

Specialized experience is defined as 
--applying statistical techniques and methods in a consulting environment on data sets from physical science, engineering, or biological science sources. Statistical techniques used must include inferential statistics, design of experiments, and mixed effects models. In addition, experience must include at least three of the following:  sample survey methods, nonparametric data analysis, multivariate methods, reliability analyses, non-linear regression, generalized linear models, simulation, and numerical optimization;
--adapting and/or developing statistical methods and/or theory to improve the statistical field as documented in a statistical thesis or refereed publication; AND
--writing statistical computer programs to generate analyses and data displays, including publication quality graphics. Experience must include the use of SAS, R, or other major statistical package and experience programming in a language such as Fortran, Java, C++ or C.--received external funding and led multi-disciplinary projects

Work Experience: Your resume must clearly document the following for each block of work experience the beginning month and year the work assignment started and ended; the hours worked per week; position title, and series and grade if applicable; and description of duties performed. This information must be provided for each temporary or seasonal appointment/work assignment and must be clearly documented as a separate block of time.

Incomplete applications or those that provide vague and/or conflicting information may not be evaluated for consideration.

Concurrent experience in more than one position: If any of your positions included mixed duties, for example Forestry Technician timber and fire experience, please indicate the start and end dates and approximate percent of time you spent performing each different type of duty.

Part-Time or Unpaid Experience: Credit will be given for all appropriate qualifying experience regardless of whether compensation was received or whether the experience was gained in a part-time or full-time occupation, however you must indicate the number of hours the work was performed each week to receive credit. Full-time work is generally considered to be 35 to 40 hours of work per week.

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.

To receive consideration for this position, you must meet all qualification requirements by the closing date of the announcement.

Additional information

BACKGROUND INVESTIGATION AND FINGERPRINT CHECK: Selection and retention in this position is contingent on a successfully adjudicated FBI National Criminal History Check (fingerprint check) and a background investigation.

Direct Deposit - Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to a financial institution of your choosing.

E-Verify: Federal law requires agencies to use the E-Verify system to confirm the employment eligibility of all new hires. If you are selected as a newly hired employee, the documentation you present for purposes of completing the Department of Homeland Security (DHS) Form I-9 on your entry-on-duty date will be verified through the DHS 'E-VERIFY' system. Under the system, the new hire is required to resolve any identified discrepancies as a condition of continued employment.

This position is eligible for telework and other flexible work arrangements.

Recruitment Incentive maybe authorized.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated in accordance with the category rating procedure as defined in the USDA Demonstration Project Plan. Applicants who meet the basic minimum qualification requirements established for the position will be placed in the Eligible category. Eligible applicants will be further evaluated against criteria for placement in the Quality category. This evaluation is based on the level of your experience, education, and/or training as determined by your responses to the Assessment Questionnaire. Applicants with veterans' preference are listed ahead of applicants who do not have veterans' preference within each category.

Note: If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and or experience, your rating may be lowered to more accurately reflect the submitted documentation. Please follow all instructions carefully. Errors or omissions may affect your rating. Providing inaccurate information on Federal documents could be grounds for non-selection or disciplinary action up to including removal from the Federal service.

Clicking the link below will present a preview of the application form; i.e. the online questionnaire. The application form link below will only provide a preview and does not initiate the application process. To initiate the online application process, click the "Apply" button to the right.


To view the application form, visit: https://fs.usda.ntis.gov/cp/?event=jobs.previewApplication&jobid=23CE2628-33AE-4641-9A1E-A8D301070422

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