Clarification from the agency

This position is eligible for full-time remote telework. The actual salary will be based on the geographic location of the individual(s) selected for this position. This job will close when we have received 150 applications which may be sooner than the closing date.

The incumbent is a recognized analytical expert with a strong background in statistical analysis and machine learning, and a proven record of successfully modeling large and complex datasets. The incumbent will perform various duties under the direction and guidance of the data analytics team lead and the Chief, Security Mission Integration.

The incumbent serves as a data scientist and is responsible for advancing use cases for machine learning within the IT Security Office (ITSO) and mining the vast cyber security and organizational data resources for proactively addressing cyber security risk. The candidate should have a strong command of statistical techniques and machine learning algorithms as they will be responsible for producing machine learning models, statistical models, and complex statistical analyses.

Duties may include, but are not limited to, the following:

1. Maturing ITSO's capabilities for diagnostic analytics by developing and refining datasets which model hard-to-detect cyber security threats across the enterprise.
2. Developing a roadmap for establishing the use of predictive analytics in fortifying our cyber security posture.
3. Leading large-scale exploratory data analyses for new data sources or new uses for existing data sources. Establishing links across existing data sources and finding new, interesting data correlations.
4. Communicating complex data in simple and actionable ways.
5. Visualizing data in the most effective way possible for a given project or question.
6. Providing statistical programming, model development and implementation.
7. Building key metrics and modeling reports for communication with leadership.
8. Devising and utilizing algorithms and models to mine big data stores, performing data and error analysis to improve models, and cleaning and validating data for uniformity and accuracy.
9. Analyzing data for trends and patterns, interpreting data with a clear objective in mind.
10. Working both individually and in a collaborative manner with a team.

Conditions of employment

CONDITIONS OF EMPLOYMENT

1. All information is subject to verification. Applicants are advised that false answers or omissions of information on application materials or inability to meet the following conditions may be grounds for non-selection, withdrawal of an offer of employment, or dismissal after being employed.
2. Selection for this position is contingent upon completion of OF-306, Declaration of Federal Employment during the pre-employment process and proof of U.S. citizenship for competitive status positions or conversion to a competitive status position with the AO. If non-citizens are considered for hire into a temporary or any other position with non-competitive status or when it is confirmed by the AO Human Resources Office there are no qualified U.S. citizens for a competitive status position (unless prohibited by a law or statue), non-citizens must provide proof of authorization to work in the U.S. and proof of entitlement to receive compensation. Additional information on the employment of non-citizens can be found at USAJOBS Help Center | Employment of non-citizens/. For a list of documents that may be used to provide proof of citizenship or authorization to work in the United States, please refer to Form I-9, Employment Eligibility Verification.
3. All new AO employees will be required to complete an FBI fingerprint-based national criminal database and records check and pass a public trust suitability check.
4. New employees to the AO will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights/responsibilities, visit https://www.e-verify.gov/.
5. All new AO employees are required to identify a financial institution for direct deposit of pay before appointment.
6. You will be required to serve a trial period if selected for a first-time appointment to the Federal government, transferring from another Federal agency, or serving as a first-time supervisor. Failure to successfully complete the trial period may result in termination of employment.
7. If appointed to a temporary position, management may have the discretion of converting the position to permanent depending upon funding and staffing allocation.

Qualifications

Applicants must have demonstrated experience as listed below. This requirement is according to the AO Classification, Compensation, and Recruitment Systems which include interpretive guidance and reference to the OPM Operating Manual for Qualification Standards for General Schedule Positions.

Specialized Experience: Applicants must have at least one full year (52 weeks) of specialized experience, which is in or directly related to the line of work of this position. Specialized experience must demonstrate ALL areas defined below:

1. Statistical analysis and machine learning
2. Modeling large and complex datasets
3. Data and content management
4. Data extraction and normalization
5. Data exchanges
6. Data systems and management
7. Problem solving

Be clear and specific when describing your work history since human resources cannot make assumptions regarding your experience. Your application will be rated based on your resume.

Applicants with the following degree are highly desirable:

Master's of Science degree in Data Science or equivalent field of study
Master's Degree in Mathematics, Statistics, Computer Science, or Cybersecurity
PhD in Data Science or equivalent field of study

** The actual salary will be based on the geographic location of the individual(s) selected for this position.**

How you will be evaluated

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

We will review your resume and supporting documentation and compare this information to your responses on the occupational questionnaire to determine if you meet the minimum qualifications for this job. If you meet the minimum qualifications for this job, we will evaluate your application package, to assess the quality, depth, and complexity of your accomplishments, experience, and education as they relate to the requirements listed in this vacancy announcement.

You should be aware that your ratings are subject to evaluation and verification. If a determination is made that you have rated yourself higher than is supported by your resume and/or narrative responses, you will be assigned a rating commensurate to your described experience. Failure to submit the mandatory narrative responses will result in not receiving full consideration and/or rating credit. Deliberate attempts to falsify information may be grounds for not selecting you, withdrawing an offer of employment, or dismissal after being employed.