Summary
Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.
WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? Visit us on the web at www.jobs.irs.gov
This job is open to
Clarification from the agency
Open to U.S. Citizens/Nationals
Duties
WHAT IS THE SMALL BUSINESS/SELF-EMPLOYEDDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
Vacancies will be filled in the following specialty areas:
SB/SE Operations Support, Business Development Office
The following are the duties of this position at the full working level.
- Serves as a technical expert with responsibility for the initiation, planning, implementation, controlling, modifying and executing of all or part of an entire project, including such tasks as formulation of workload estimates for program segments, specification of the methodology to be used, preparation of appropriate specifications and procedures, and review of computer systems specifications and materials and instructions needed for assuring the adequacy of the project's design and objectives. Explores novel methods of retrieving data and develops innovative recommendations to management and senior leadership as a means for making data driven decisions such as modification of processes and policies. Reviews, evaluates, validates, and documents the results of the findings.
- Assists the supervisor in determining the scope, goals and schedules for future programs in the Office. Results have a direct impact on assigned area's policy. Acts as a troubleshooter in resolving bottlenecks at any step in a project by identifying and proposing solutions; this may include coordination with other project team members or stakeholders to mitigate issues.
- Collaborates with business and technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions.
- Identifies and assesses relevant data sources' validity and reliability to meet project needs.
- Collates, cleans, transforms, analyzes, and integrates structured and unstructured data from various sources in preparation for analysis.
This position has career progression. If you are selected at a grade level lower than the full working level, you may be non-competitively promoted as your career progresses. For example, you may be hired as a GS-05, but if the position has career progression to GS-11, then you may move from a GS-05 to a GS-11 in as little as three years.
Requirements
Conditions of Employment
- Must be a U.S. Citizen or National and provide proof of U.S. Citizenship. (Birth certificate showing birth in the U.S; Unexpired U.S. Passport; Certificate of Citizenship or Naturalization; or Report of Birth Abroad of a U.S. Citizen (Form FS-240))
- Undergo a review of prior performance/conduct and an income tax verification. Refer to "Get Your Tax Record" at http://www.irs.gov/(https://www.irs.gov/individuals/get-transcript) to check the status of your account, balance owed, payment history, make a payment, or review answers to tax questions. If you are not in compliance, you will be determined unsuitable for employment with IRS.
- This position requires that the successful candidate undergo personnel vetting, which includes a background investigation and enrollment upon onboarding into "Continuous Vetting." Enrollment in Continuous Vetting will result in automated record checks being conducted throughout one's employment with Treasury. The successful candidate will also be enrolled into FBI's Rap Back service, which will allow Treasury to receive notification from the FBI of criminal matters (e.g., arrests, charges, convictions) involving enrolled individuals in near real-time. For more information regarding your rights refer to Noncriminal Justice Applicant's Privacy Rights - FBI, FD-258 Privacy Act Statement - FBI, and SEAD-3-Reporting-U.pdf (dni.gov).
- Complete a Declaration for Federal Employment to determine your suitability for Federal employment, at the time requested by the agency.
- Go through a Personal Identity Verification (PIV) process that requires two forms of identification from the Form I-9. Federal law requires verification of the identity and employment eligibility of all new hires in the U.S. These documents must be unexpired original or certified copies.
- The Fair Chance to Compete for Jobs Act prohibits the Department of Treasury and its bureaus from requesting an applicant's criminal history record before that individual receives a conditional offer of employment. In accordance with 5 U.S. Code § 9202(c) and 5 C.F.R § 920.201 certain positions are exempt from the provisions of the Fair Chance to Compete Act. Applicants who believe they have been subjected to a violation of the Fair Chance to Compete for Jobs Act, may submit a written complaint to the Department of Treasury by email at, FairChanceAct@treasury.gov. To learn more, please visit our page at: Treasury.gov/fairchanceact.
Qualifications
Federal experience is not required. The experience may have been gained in the public sector, private sector or Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement:
BASIC REQUIREMENTS: GS-1530 Statistician (Data Scientist): You must have 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. 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 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.
BASIC REQUIREMENTS: GS-1529 Mathematical Statistician (Data Scientist): You must have a degree that included courses in mathematics and statistics totaling at least 24 semester hours. This course work must have included a minimum of 12 semester hours of mathematics and 6 semester hours were in statistics. Courses acceptable toward meeting the mathematics course requirement 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.
OR
A combination of education and experience that includes at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as described above; and Experience that showed 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.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
SPECIALIZED EXPERIENCE FOR GS-09: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-7 grade level in the Federal service. Specialized experience for this position includes at least three of the following: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.
OR
You may substitute education for specialized experience specialized experience as follows: Two (2) full academic years of progressively higher-level graduate education in in Mathematics, statistics or related field of study from an accredited college or university.
OR
Master's or equivalent degree in Mathematics, statistics or related field of study from an accredited college or university.
SPECIALIZED EXPERIENCE FOR GS-11: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-9 grade level in the Federal service. Specialized experience for this position includes at least five of the following: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.
OR
You may substitute education for specialized experience specialized experience as follows: Three (3) full academic years of progressively higher level graduate education in Mathematics, Statistics or related fields.
OR
Ph. D. or equivalent doctoral degree Mathematics, Statistics or related field of study from an accredited college or university.
*Qualification requirements continued in the "Education" section.
For more information on qualifications please refer to OPM's Qualifications Standards.
Education
For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected.
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
*Qualification requirements continued:
SPECIALIZED EXPERIENCE FOR GS-12: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes ALL of the following: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.
SPECIALIZED EXPERIENCE FOR GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes all of the following: Experience applying project management principles on a data science project. Experience planning and executing a variety of data science and/or analytics projects. Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience working with multiple data types and formats as a part of a data science project. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.
Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
Your application includes your resume, responses to the online questions, and required supporting documents. Please be sure that your resume includes detailed information to support your qualifications for this position; failure to provide sufficient evidence in your resume may result in a "not qualified" determination. Applicants who disqualify themselves will not be evaluated further.
Rating: You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics): - Attention to Detail
- Oral Communication
- Planning and Evaluating
- Statistical Methods
- Technical Competence
- Writing
Category rating will be used to rank and select eligible candidates. If qualified, you will be assigned to one of two quality level categories, CAT A/B, CAT C depending on your responses to the online questions, regarding your experience, education, and training related to this position. Your rating may be lowered if your responses to the online questions are not supported by the education and/or experience described in your application.
Referral: If you are among the top qualified candidates, your application may be referred to a selecting official for consideration. Candidates, if required to participate in a selection interview (telephonic and/or in person at the discretion of the Selecting Official in accordance with hiring practices), will be interviewed in quality group order. We will not reimburse costs related to the interview such as travel to and from the interview site.
Veterans' preference is applied after applicants are assessed. Qualified preference eligibles who have a compensable service-connected disability of 10 percent or more (CPS, CP) are placed at the top of the highest category on the referral list (except for scientific or professional positions at the GS-9 level or higher). Remaining preference eligibles are placed above non-preference eligibles within their assigned category.
If you are a displaced or surplus Federal employee (eligible for the Career Transition Assistance Plan (CTAP)/Interagency Career Transition Assistance Plan (ICTAP), you must receive a rating of category CAT A/B to be rated as "well qualified" to receive special selection priority.
Required Documents
The following documents are required and must be provided with your application. All application materials, including transcripts, must be in English.
- Resume - Your resume MUST contain dates of employment (i.e., month/year to month/year or present). To ensure you receive full credit for relevant experience, include the hours worked per week. We recommend that your resume not exceed 5 pages. If including Federal service experience, you MUST provide the pay plan, series, and grade, i.e., GS-0301-09. If the pay plan, series, and grade are not provided, it may result in an ineligible determination.
Your resume must NOT include photographs, classified or government sensitive information, social security number (SSN), encrypted/digitally signed documents, links to external sources, or other inappropriate material or content. If your resume contains prohibited information as listed above, your application will be determined ineligible, and you will not receive consideration for this position. (Cover letters are optional.) Please view Resume Tips. It is also recommended that your resume not include personal information such as age, gender, religion, race, disability, etc.
I also checked the Cover letters link and the Resume Tips link and they go to a page not found.
- Online Application - Questionnaire
- Education - See Education Section above
- Registration/License (if applicable) - active, current registration/license
- Veterans' Preference (if applicable) - You MUST submit a copy of your DD-214 (Member 4 copy), or other official documentation from a branch of the Armed Forces or the Department of Veterans Affairs showing dates of service and type of discharge. If you are serving under active duty, provide certification from the Armed Forces that you will be discharged or released within 120 days from the date of certification. The certification must indicate your dates of service, rank and that you will be separated under honorable conditions.
10-point preference eligible - Submit an Application for 10-point Veteran Preference, SF-15, along with the required documentation listed on the back of the SF-15. Veterans Affairs/Armed Forces certification must include the percentage of the service-connected disability or disabilities (including the "combined" percentage if you have more than one disability). Refer to FedsHireVets for additional information on veterans' preference.
- Career Transition Assistance Plan (CTAP) (if applicable) - You MUST submit the required documentation as outlined at: Career Transition Assistance Plan (CTAP). If you are an IRS CTAP eligible, you can apply for jobs within and outside the commuting area. If you are a Treasury CTAP eligible can apply for jobs within the commuting area.
- Interagency Career Transition Assistance Plan (ICTAP) (if applicable) - If you are a displaced or surplus Federal employee, click Interchange Career Transition Assistance Plan (ICTAP) for eligibility and a detailed list of required documents.
- High School Diploma (or equivalent) - If you are 16 or 17 years of age, you MUST submit documentation of graduation from high school (or equivalent); OR completion of a formal vocational training program; OR statement from school authorities agreeing with your decision to pursue employment rather than continuing your education.
Please note that if you do not provide all required information, as specified in this announcement, your application will be determined incomplete, and you will not be considered for this position (or may not receive the special consideration for which you may be eligible).
How to Apply
The following instructions outline our application process. You must complete this application process and submit any required documents by 11:59 p.m. Eastern Time (ET) on 09/24/2024 and/or cut-off dates in this announcement. We are available to assist you during business hours (normally 8:00 a.m. - 4:00 p.m. ET, Monday - Friday). If applying online poses a hardship, please contact us by noon ET on 09/24/2024.
To preview the Application Questionnaire, please click the following link: https://apply.usastaffing.gov/ViewQuestionnaire/12547337
- To begin the application process, click the "Apply Online" button.
- You will be re-directed to USA STAFFING to complete your application process; answer the online questions and submit all required documents. (To submit supporting documents, import documents from USAJOBS to the appropriate document types. If the document you need was not imported from USAJOBS, you may upload it directly into this application. To protect your privacy, we suggest you first remove your SSN).
- To complete, you must click the "Submit Application" button prior to 11:59 PM (ET) on 09/24/2024.
To update your application, including supporting documentation, at any time during the announcement open period, return to your USAJOBS account ( https://my.usajobs.gov/Account/Login). There you will find a record of your application, the application status, and an option to Update Application. This option will no longer be available once the announcement has closed.
To verify the status of your application both during and after the announcement open period, log into your USAJOBS account: https://my.usajobs.gov/Account/Login . All of your applications will appear on the Welcome page. The application record in your USAJOBS account provides an Additional Application Information page that provides information regarding the documentation you submitted and any correspondence we have sent related to this application. The Application Status will appear along with the date your application was last updated. For information on what each Application Status means, visit: https://www.usajobs.gov/Help/how-to/application/status/.
Next steps
Treasury believes in a working environment that supports inclusion; to review reasonable accommodation policies and procedures please visit https://www.opm.gov/policy-data-oversight/disability-employment/reasonable-accommodations/. We provide reasonable accommodation to applicants with disabilities on a case-by-case basis; contact us if you require this for any part of the application and hiring process.
Once your application package and online questionnaire is received you will receive an acknowledgement email. You are responsible for checking status updates and notifications in USAJOBS. Hard copy notifications will not be sent to you. You may check the status of your application for this position at any time by logging onto the USAJOBS "My Account" tab and clicking on "Application Status." For a more detailed update of your application status, you may click on "more information." Please notify us if your contact information changes after the closing date of the announcement. If your email mailbox is full or blocked (SPAM) you may not receive important communication that could affect your consideration for this position.
Additional Locations
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Omaha, NE
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(NH0037) 275 Chestnut Street
Manchester, NH
-
(NH6136) 410 Amherst Street
Nashua, NH
-
(NH6185) 75 Portsmouth Blvd
Portsmouth, NH
-
(NJ5114) 51 Haddonfield Road
Cherry Hill, NJ
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(NJ4541) 100 Dey Place
Edison, NJ
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(NJ4611) 4 Paragon Way
Freehold, NJ
-
(NJ4664) 101 Wood Ave S
Iselin, NJ
-
(NJ6998) 5218 Atlantic Avenue
Mays Landing, NJ
-
(NJ4571) 1 Kalisa Way
Paramus, NJ
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(NJ4531) 1719 Route 10
Parsippany, NJ
-
(NJ0145) 200 Federal Plaza
Paterson, NJ
-
(NJ4721) 955 S Springfield Ave
Springfield, NJ
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(NJ5105) 50 West State Street
Trenton, NJ
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(NM1464) 6200 Jefferson St NE
Albuquerque, NM
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(NV7516) 110 N. City Pkwy
Las Vegas, NV
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(NV0012) 300 Booth Street
Reno, NV
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(NY0300) 11 A Clinton Ave
Albany, NY
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(NY7501) 999 Stewart Ave
Bethpage, NY
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(NY7304) 1200 Waters Place
Bronx, NY
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(NY7288) 2 Metrotech Center
Brooklyn, NY
-
(NY7340) 130 S Elmwood Ave
Buffalo, NY
-
(NY6466) 2875 Union Road
Cheektowaga, NY
-
(NY7117) 1180 Vets Mem Hwy
Hauppauge, NY
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(NY0376) 1040 Waverly Avenue
Holtsville, NY
-
(NY7184) 5000 Corporate Drive
Holtsville, NY
-
(NY7071) 300 Commerce Drive
New Windsor, NY
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(NY0282) 26 Federal Plaza
New York, NY
-
(NY0128) 201 Varick Street
New York, NY
-
(NY0350) 290 Broadway-Foley Sq
New York, NY
-
(NY7064) 255 East Ave
Rochester, NY
-
(NY7357) 300 S State Street
Syracuse, NY
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(NY6385) 210 East Post Rd
White Plains, NY
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(OH0189) 550 Main St
Cincinnati, OH
-
(OH0208) 200 N High St
Columbus, OH
-
(OH0195) 200 W 2nd St
Dayton, OH
-
(OH2320) 6450 Rockside Woods S
Independence, OH
-
(OH2146) 433 N Summit St
Toledo, OH
-
(OK1356) 55 North Robinson
Oklahoma City, OK
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(OK1431) 8023 E 63rd Pl
Tulsa, OK
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(OR0043) 1220 SW 3rd Ave
Portland, OR
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(OR6660) 1660 Oak Street SE
Salem, OR
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(PA0719) 3 W Broad Street
Bethlehem, PA
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(PA0865) 200 Lakeside Dr
Horsham, PA
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(PA0507) 601 S Henderson Road
King Of Prussia, PA
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(PA0582) 1400 N Providence Rd
Media, PA
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(PA0745) Penn Office Bldg
Monroeville, PA
-
(PA0809) 2970 Market Street
Philadelphia, PA
-
(PA0277) 600 Arch St
Philadelphia, PA
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(PA0233) 1000 Liberty Avenue
Pittsburgh, PA
-
(PA0596) 409 Lackawanna Ave
Scranton, PA
-
(PR3930) 7 Tabonuco St
Guaynabo, PR
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(PR4001) City View Plaza Ii
Guaynabo, PR
-
(PR4065) 103 GonzalezGiustiAve
Guaynabo, PR
-
(PR4062) 652AveLuisMunozRivera
San Juan, PR
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(RI7097) 380 Westminster St
Providence, RI
-
(RI7085) 60 Quaker Ln
Warwick, RI
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(SC0068) 1835 Assembly St
Columbia, SC
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(SC2095) 440 Roper Mountain Rd
Greenville, SC
-
(SC1149) 4400LeedsAveSuite270
North Charleston, SC
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(SD0035) 515 9th St
Rapid City, SD
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(SD1317) 1720 S SEastern Ave
Sioux Falls, SD
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(TN2351) 5740 Uptain Rd
Chattanooga, TN
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(TN2709) 127InternationalDrive
Franklin, TN
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(TN0076) 710 Locust St
Knoxville, TN
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(TN2070) 22 N Front St
Memphis, TN
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(TN0005) 5333 Getwell Rd
Memphis, TN
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(TN0052) 801 Broadway
Nashville, TN
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(TX0227) 300 E Eighth St
Austin, TX
-
(TX2225) 2191 Woodward St
Austin, TX
-
(TX2038) 3651 S IH-35
Austin, TX
-
(TX1962) 1821 Directors Blvd
Austin, TX
-
(TX2437) 2101 Saint Elmo
Austin, TX
-
(TX2835) 12309 N Mopac Expwy
Austin, TX
-
(TX1732) 606 N Carancahaua
Corpus Christi, TX
-
(TX0284) 1100 Commerce St
Dallas, TX
-
(TX0272) 700 E San Antonio
El Paso, TX
-
(TX0302) 4050 Alpha Rd
Farmers Branch, TX
-
(TX2653) 5450 Stratum Dr
Fort Worth, TX
-
(TX2754) 1810 Hale Ave
Harlingen, TX
-
(TX0298) 1919 Smith
Houston, TX
-
(TX2298) 12941 I-45 North
Houston, TX
-
(TX0297) 8701 S Gessner
Houston, TX
-
(TX2785) 1101 E Hackberry Ave
McAllen, TX
-
(TX2148) 1004 North Big Spring
Midland, TX
-
(TX2982) 8122 Datapoint Dr
San Antonio, TX
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(TX2096) 909 ESE Loop 323
Tyler, TX
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(UT0035) 324 25th St
Ogden, UT
-
(UT0036) 1160 W 1200 S
Ogden, UT
-
(UT1434) 105 23rd Street
Ogden, UT
-
(UT1431) 2484 S Washington Bvd
Ogden, UT
-
(UT1486) 2365 Lincoln Avenue
Ogden, UT
-
(UT1522) 178 S Rio Grande St
Salt Lake City, UT
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(VA0746) 1320 Central ParkBlvd
Fredericksburg, VA
-
(VA0688) 903 Enterprise Pkwy
Hampton, VA
-
(VA1608) 200 Granby Street
Norfolk, VA
-
(VA0088) 400 N Eighth St
Richmond, VA
-
(VA0535) 210 1st St
Roanoke, VA
-
(VA0008) 7980 Quantum Dr
Vienna, VA
-
(VT8139) 128 Lakeside Ave
Burlington, VT
-
(WA0101) 915 Second Ave
Seattle, WA
-
(WA0064) 920 W Riverside Ave
Spokane, WA
-
(WA8075) 1301 A St
Tacoma, WA
-
(WA0094) 500 W 12th St
Vancouver, WA
-
(WI1784) 1242 Fourier Dr
Madison, WI
-
(WI1720) 211 W Wisconsin Ave
Milwaukee, WI
-
(WI1696) N14 W24200 Tower Pl
Waukesha, WI
-
(WV0171) 110 N Heber St
Beckley, WV
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(WY0030) 100 E B Street
Casper, WY
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(WY1228) 5353 NYellowstoneRd
Cheyenne, WY
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