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Mathematical Statistician

Department of Agriculture
Forest Service
This job announcement has closed

Summary

These positions support the Forest Service Pacific Northwest Research Station (PNW) or the Northern Research Station (NRS) performing mathematical and statistical work: consultation, collaboration, and training related to mathematical statistical analysis; experimental and study design; and adaptation of mathematical tools, methods, techniques, and theories of inference and probability applied to statistical processes.

More info:
PNW: Elizabeth.Dent@usda.gov
NRS: Elizabeth.B.Larry@usda.gov

Overview

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Hiring complete
Open & closing dates
07/20/2023 to 08/21/2023
Salary
$82,830 to - $98,496 per year
Pay scale & grade
GS 12 - 13
Location
2 vacancies in the following location:
Position may be filled remote
Location Negotiable After Selection,
Remote job
No
Telework eligible
Yes—Routine telework is possible, as well as remote work. Please see the "Additional Information" section of this announcement for more information.
Travel Required
Occasional travel - Overnight travel may be expected for meetings and training.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
13
Job family (Series)
Supervisory status
No
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Non-sensitive (NS)/Low Risk
Trust determination process
Announcement number
23-RES-12050590-DHA-IC
Control number
738003300

This job is open to

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Clarification from the agency

Applications will be accepted from any U.S. citizen. Direct Hire Authority will be used to fill this position. Veterans Preference and traditional rating and ranking of applicants does not apply to this vacancy.

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Duties

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  • Consultant and technical expert for various large-scale research projects.
  • Emphasis on survey and monitoring design, experimental design, model selection, and model-building, quality assurance and quality control, error propagation, and simulation techniques
  • Advises on how best to handle graphical displays of scientific data for publication in multiple media, including scientific publications, scientific presentations and/or web display.
  • Analyzes the accuracy and validity of data, determines if planned operations and processes are appropriate and recommends improvements for collecting and analyzing empirical and modeled data.
  • Uses Statistical Analysis System (SAS) and/or R statistical software to develop and conduct statistical computing involving data management, time series modeling, seasoned adjustment and demographic forecasting or similar technical analyses.
  • Communicates complex technical issues to a variety of audiences through presentations, training and professional publications.
  • Writes technical reports and peer-reviewed manuscripts to disseminate the results of research and participates as a co-author or author for publications.

Requirements

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Conditions of employment

  • Must be a U.S. Citizen or National.
  • Males born after 12-31-59 must be registered for Selective Service or exempt.
  • Subject to satisfactory adjudication of background investigation and/or fingerprint check.
  • Successful completion of one-year probationary period, unless previously served.
  • Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution.
  • Successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit E-Verify.
  • This position is remote eligible. You will be required to sign a remote work agreement and be responsible for ensuring the approved remote worksite has adequate internet service, connectivity, and other general utility costs at your own expense

Qualifications

To qualify, you must meet the eligibility and qualifications requirements as defined below by the closing date of the announcement. For more information on the qualifications for this position, visit the Office of Personnel Management's General Schedule Qualification Standards.

Work Experience: Your resume must clearly document the following for each block of work experience; the beginning day, 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. Provide this information for each appointment/work assignment or volunteer work and document each as a separate block of time. Incomplete, inaccurate or conflicting work history may not be credited for qualifications purposes and you may lose consideration for the position. Your application and resume must clearly show that you possess the experience requirements. Provide graduate and undergraduate transcripts. Provide university course descriptions to clarify content of coursework as necessary.

Required Education:
https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/mathematical-statistics-series-1529/
Degree: 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 in A above, plus appropriate experience or additional education.

In addition to meeting the basic requirement, you must also possess experience and/or directly related education in the amounts listed below.
GS-12: One year of specialized experience equivalent to the GS-11 grade level in federal service. To qualify at this grade level, your resume must reflect the following.
Applying proficiency in R software and programming and a wide range of complex statistical procedures, quantitative analyses, and complex sample designs to biological, physical, and social problems in forest and watershed ecosystems including incorporating quality assurance and quality control (QA/QC) practices.
AND
Collaborating with researchers to evaluate the statistical properties of study and sampling designs or analytical plans and suggest modifications or improvements and assisting researchers in the execution and interpretation of statistical tests.

GS-13: One year of Specialized Experience equivalent to the GS-12 grade level in federal service. To qualify at this grade level, your resume must reflect the following.
Applying proficiency in R software and programming and a wide range of complex statistical procedures, quantitative analyses, QA/QC, and complex sample designs to biological, physical, and social problems in forest, rangeland, or watershed ecosystems;

Consulting, advising, mentoring, and collaborating with researchers to create programs of work designed consistently across elements to achieve defensible outcomes;.

Performing comprehensive evaluation of the statistical properties of complex designs or analytical plans and providing advice for modifications or improvements;

Assisting researchers in the execution and interpretation of statistical tests; response to peer reviews; and effectively translating analytical results to broad audiences through data visualization, interpretation, presentation, and publication.

Evidence of qualifying experience will show:
Mastery of mathematical and statistical procedures at a comprehensive professional level including knowledge of sample design; survey and monitoring design; linear and nonlinear regression procedures (e.g. especially in the context of hierarchical models; generalized linear models and mixed models), including repeated measures analysis; experimental design concepts including randomization, blocking, confounding of effects, nesting and multiple levels of experimental units; response surface methodology; and analysis of variance techniques needed to analyze, consult and advise on classical experimental designs and observational studies, as well as awareness of more complicated analysis techniques.
Knowledge of non-parametric methods, categorical data analysis, multivariate analysis, Bayesian methods, machine learning (e.g. Random Forest analysis for classification and regression), and stochastic processes. Ability to modify established methods, design sample surveys and/or laboratory experiments, analyze survey, experimental, or observational data, and apply a variety of statistical tools and methods to understand underlying variation as it relates to forestry, rangeland, watershed, or social science research topics. Familiarity with spatial statistics, geostatistics, and time series methods preferred.
Detailed knowledge of major statistical and graphical packages available on at least one major operating system (e.g., Windows systems); thorough knowledge of scientific computing systems and methods; and demonstrated proficiency in R software and programming (and other commonly used packages such as SAS, Stata, SPSS) in combination with analytical, statistical, and mathematical knowledge.

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.

Education

Education is required to qualify for these positions. See above for requirements.

Additional information

LOCATION INFORMATION:
The NRS position's duty location is located within the NRS geographic area and will be negotiated after selection. Potential office locations include Durham, NH; Baltimore, MD; Delaware, OH; Falcon Heights, MN; and Madison, WI. Routine telework is possible, as well as a remote worksite within the NRS footprint. Link to map of NRS: https://www.fs.usda.gov/research/nrs/about

Remote worksite for PNW must be within 50 miles of a PNW lab or station. Here are the links:
PNW Research Station: https://www.fs.usda.gov/research/pnw
PNW Research Labs: https://www.fs.usda.gov/research/pnw/labs/locations
Anchorage: https://www.fs.usda.gov/research/pnw/labs/locations/anchorage
Corvallis: https://www.fs.usda.gov/research/pnw/labs/locations/corvallis
Fairbanks: https://www.fs.usda.gov/research/pnw/labs/locations/borealecology
Juneau: https://www.fs.usda.gov/research/pnw/labs/locations/juneau
La Grande: https://www.fs.usda.gov/research/pnw/labs/locations/forestryrange
Olympia: https://www.fs.usda.gov/research/pnw/labs/locations/olympia
Portland: https://www.fs.usda.gov/research/pnw
Seattle: https://www.fs.usda.gov/research/pnw/labs/locations/seattle
Wenatchee: https://www.fs.usda.gov/research/pnw/labs/locations/wenatchee

Salary wage as shown is for Rest of the U.S. For more information, refer to the Office of Personnel Management, Salary and Wages web page.

Selections made under this authority will be processed as new appointments to the civil service. Current civil service employees would be given a new appointment.

This position is eligible for a remote work arrangement. Remote work employees are expected to work at an approved remote worksite, typically the employee's residence, on a regular and continuing basis.

If you are selected for a position with further promotion potential, you will be placed under a career development plan, and may be non-competitively promoted if you successfully complete the requirements and if recommended by management. However, promotion is not guaranteed.

These are non-bargaining unit positions.

Career Transition Assistance Plan (CTAP), Reemployment Priority List (RPL), or Interagency Career Transition Assistance Plan (ICTAP): To exercise selection priority for this vacancy, CTAP/RPL/ICTAP candidates must meet the basic eligibility requirements and all selective factors.


The Forest Service may use certain incentives and hiring flexibilities, currently offered by the Federal government, to attract highly qualified candidates. Additional information is available at https://www.opm.gov/policy-data-oversight/pay-leave/pay-and-leave-flexibilities-for-recruitment-and-retention/

How you will be evaluated

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

This is a Direct-Hire Authority announcement. All applicants who meet the minimum qualifications will be referred to the selecting official. Before a certificate is issued to the selecting official, your resume and transcripts are reviewed to ensure that you meet all the qualification requirements. A rating will not be used; veteran's preference does not apply due to the existence of the Direct Hire authority for this position.

Note: If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and or experience, you may be found ineligible. 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.

To view the application form, visit: https://apply.usastaffing.gov/ViewQuestionnaire/12050590

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