Mathematical Statistician
About the company
This position is located with Bonneville Power Administration, in the Load Forecasting and Analysis (MSL) organization of Customer Support Services (MS), Business Management & Development (M). A successful candidate in the Mathematical Statistician position will serve as a senior level expert mathematical statistician (Short Term Forecaster) performing scientific work that involves designing, developing, and adapting mathematical/statistical methods and techniques.
Requirements
BASIC REQUIREMENT: A. 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 B. 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. SPECIALIZED EXPERIENCE REQUIREMENTS A qualified candidate's resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-12) in the Federal service. Specialized experience for this position is defined as: 1) Designing, developing, creating or adapting mathematical methods and techniques in statistical processes to carry out short term, mid-term or long-term demand analyses and forecasts; and 2) Writing statistical computer programs/algorithms to perform computer simulations. "Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. 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. CTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section. You must meet all qualifications and eligibility requirements by the closing date of this announcement.
This vacancy has a positive education requirement. Education must be obtained from an accredited institution recognized by the U.S. Department of Education. See Department of Education Accreditation Search to verify school accreditation. Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website. DO NOT email or mail in any of your application documents. Documents will not be accepted outside of the online application system. In order to be rated as qualified, you must provide copies of your college transcripts. Failure to provide copies of your college transcripts may result in a rating of "Ineligible".
In accordance with Executive Order 14170, applicants are encouraged to respond to four short, free-response, essay questions in the questionnaire. Answer to these questions is not scored or rated. Your answers will be reviewed by the hiring manager and agency leadership if you are referred for selection consideration. When you apply you will be asked a series of questions to determine your eligibility for employment and your qualification for this position specifically. You must answer all of these questions completely and truthfully. Key Requirements: You must be a United States Citizen. This employer participates in the e-Verify program. Males must abide by Selective Service registration requirements. You will be required to report in person to the official duty location. Conditions of Employment: Works a non-typical shift starting at 6:30 am. Identified by HCM as an essential position. In the event of an emergency they would be called up immediately as a part of the Security and Continuity of Operations plans for on-going daily operations of the federal system. This position has a duty station in either Portland, OR.
Other
Major duties About the Position - Portland This position is located in Portland, OR which boasts huge spans of amazing trees, foliage, landscape, and everywhere you look you can appreciate beautiful greenery! It is known as the most bike-friendly city in America, has a train system that greets you at the airport spanning across the city, and is home to the Portland International Rose Garden, the oldest in the country! Portland is the one place where you will find lively festivals, energetic music, mouthwatering food, and for you basketball fans, the Portland Trail Blazers are a 7 minute walk from the HQs building! There is always something new to experience in this eco-friendly town! As a Mathematical Statistician, you will: Perform the scientific work of designing, developing, creating or adapting mathematical methods and techniques in statistical processes to carry out short-term (sub-hourly, hourly, out 2 weeks) load analysis. Incumbent is responsible for developing, coordinating, and implementing all studies, analyses, and forecasts. Develop load forecasting methods and models for Short-Term (sub-hourly, hourly, out 2 weeks) for operating level loads through the application of complex mathematical/statistical methods. Perform continuing mathematical and statistical investigations to evaluate and compare alternative forecasting models relative to actual observed electricity demands. Provide timely and high quality subject matter expertise on load changes and supports business operations, marketing meetings, and demand side management meetings. Formulate, plan, and execute broad or in-depth economic studies based on analysis of loads associated with a subset of requirements customers (including customers with dispatchable generation), and represent those customers with the most complex issues. Compare forecasts with actual obligations, determine the reasons for differences, and assess the impact of those differences on the reliability of future forecasts, market rates, and systems operations. Evaluate research, interpret economic and environmental conditions, and test and adjust mathematical models to ensure a close correlation with reality and to ensure that operational changes are based on reliable data.