Data Scientist

About the Position: This position serves as Data Scientist, DB-1560-04, within the Artificial Intelligence Task Force located in Pittsburgh, Pennsylvania. AFC exists to modernize the way the Army does business by creating a space of endless possibilities to explore, develop, and test new methods, organizations, and technologies. Visit us on www.armyfuturescommand.com and join the team leading the Army into the future!

• No

• Yes—as determined by the agency policy.

• 25% or less - You may be expected to travel for this position.

• Yes—You may qualify for reimbursement of relocation expenses in accordance with agency policy.

• Permanent

• Full-time

• Competitive

• None

• 1560 Data Science Series

• No

• Secret

• No

• Noncritical-Sensitive (NCS)/Moderate Risk

• Suitability/Fitness

• No

• No

• DAFN245043350466HW

• 821991600

Supporting data engineering and analysis to develop traditional and machine learning models. Researching to o establish objectives and approach; ability to isolate and define critical features of the problem; formulation and application of methodology; identify alternative courses of action; and clear, concise, presentation of results. Collaborates with Operations Research Analysts, Engineers, Computer Scientists, and other technologists to analyze difficult and complex problems. Assessing and understanding the problem scope, develop effective plans and approaches, devise new methods and/or apply existing theories to develop effective and efficient solutions. Applying innovative data science and mathematical approaches to the analysis of complex problems and opportunities. Identifying the methods, processes, algorithms, tools, and systems to extract and interpret findings from varied structured and unstructured data sets related to data science lifecycle. Contributes to the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. Applying professional knowledge of computer science and mathematical theories and technique to analyze, design and construct processes for modeling, interpreting, and reporting quantitative information, trends, and correlations within data sets. Develops feasible data architecture recommendations for new and emerging models, analysis tools, and projects.

• Appointment may be subject to a suitability or fitness determination, as determined by a completed background investigation. You will be required to provide proof of U.S. Citizenship. Three year trial/probationary period may be required. This position has a Temporary Duty (TDY) or business travel requirement of 25% of the time.

Who May Apply: US Citizens

In order to qualify, you must meet the education and experience requirements described below. 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). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document.

Basic Education Requirements DB-1560-04:

A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

OR

B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:

Specialized Experience: One year of specialized experience which includes 1.) Supporting data engineering and analysis to develop traditional and machine learning models; 2) Applying innovative data science and mathematical approaches to the analysis of complex problems and opportunities; 3)

Identifying methods, processes, algorithms, tools, and/or systems to extract and interpret findings from varied structured and unstructured data sets related to data science lifecycle; 4) Developing feasible data architecture recommendations for new and emerging models, analysis tools, and projects.

Some federal jobs allow you to substitute your education for the required experience in order to qualify. For this job, you must meet the qualification requirement using experience alone--no substitution of education for experience is permitted.

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

Once the announcement has closed, a review of your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine whether you meet the qualification requirements listed on this announcement.

If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and/or experience, you may lose consideration for this position. Please follow all instructions carefully when applying, errors or omissions may affect your eligibility.

You should list any relevant performance appraisals and incentive awards in your resume as that information may be taken into consideration during the selection process. If selected, you may be required to provide supporting documentation.

Veterans and Military Spouses will be considered along with all other candidates.

Interagency Career Transition Assistance Program (ICTAP). If you are a Federal employee in the competitive service and your agency has notified you in writing that you are a displaced employee eligible for ICTAP consideration, you may receive selection priority for this position. To receive selection priority, you must: (1) meet ICTAP eligibility criteria (2) be rated well-qualified for the position and; (3) submit the appropriate documentation to support your ICTAP eligibility. To be considered well-qualified and receive selection priority applicants must satisfy all qualification requirements for the position and receive a score of 90 or above. Additional information about the program is on OPM's Career Transition Resources website.