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Leads projects using advanced analytics techniques such as machine learning, natural language processing, robotic process automation, and artificial intelligence, to include the research, design, development, deployment, and enhancement of enterprise-wide analytics solutions.

Works on data management issues to include data interface and storage, as well as the application of data and statistical analysis principles, procedures, and tools such as modeling techniques, data analysis, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes.

Translates complex concepts, findings, and limitations into concise, plain language, closely tying findings and conclusions into the Agency mission, original problem statement, and team objectives. Research and designs presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling, where appropriate.

Uses appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data such as probabilistic matching and imputation of missing values, and translates the results of analysis into clear, actionable communications that equip decision makers to make informed, data-driven decisions.

Applies a combination of computational and machine learning methods to new or big data to identify new insights using next generation analytical tools; Conduct in-depth analysis of data and disseminate the results of those analyses; Exploring data using various means available to find insights and trends that may go undiscovered in traditional research and uses existing and new data sources to extract new information and convey that information according to the audience to the data.

Identifies, adapts, and manages changes to data analysis tools in response to evolving user needs. As the data science field is constantly evolving, the incumbent documents data definitions and issues for future reference; Develops data usage and access control policies and systems in collaboration with cybersecurity staff and partners with stakeholders in continuous improvement processes impacting data quality, performance enhancements, and overall user experience.

Research, designs, and develops user-centric interactive reports, dashboards, and visualization solutions that provide business insights to decision makers using Microsoft Power BI and other tools.

Designs, develops, and operates systems for ingesting, storing, and analyzing data at scale. Uses data parallelization techniques or streaming technologies to process data. Monitors data flows and stored datasets to make improvements to data collection and ingestion mechanisms. Ensures that data sources are fit for their intended purpose through assessment of potential bias in data ingestion and transmission mechanisms, current data quality, monitoring for incoming changes in data quality, and improvement of data quality. Recommends improvements to upstream processes to improve data quality. Performs other duties as assigned.

Writes reports that are factually supported, organized, concise, and understandable, for Office of Investigations criminal investigators and investigative analysts on the results of data mining and analytics activities, reviews the work of others performing similar work and assists others in the use of the data mining and analytics applications, including others using data mining and analytics results in the performance of audits and investigations.

Plans, organizes, conducts or coordinates advanced data analytics activities. This includes data mining initiatives, cross-checking this data with other publicly and privately available databases, conducting sophisticated link analysis, and ultimately generating productive investigative referrals for Investigative field offices and respective audit areas of focus. Coordinates and collaborates with audit on joint data analytics projects when applicable.

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-time work is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate the number of hours worked per week, on your resume.

You must meet the following requirements by the closing date of this announcement:

Basic Requirements:

For more information on qualifications please refer to OPM's Qualifications Standards.

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

Specialized Experience:

GS-12 grade level, you must have one year of specialized experience at least to the GS-11 grade level in the Federal service. Examples of Specialized experience for this position includes: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment. Experience using one or more relevant data science programming languages such as, R, Python, SQL; the use of an integrated development environment (IDE) such as, RStudio. Experience with evaluative methods based on analytical skills and experiences balancing project and technological risk of the advanced solution's design, development and implementation. Experience with data preparation methods such as, feature creation, exploratory data analysis, model creation, and data visualization. Experience developing machine learning and AI models. Experience using data analysis, data visualization, and data reporting tools such as Power BI or Tableau. Experience serving as technical lead responsible for assisting in coordinating and executes studies of marked difficulty and responsibility that address advanced data modeling techniques and procedures, data trend analysis and the development of mathematical data algorithms.

GS-13:To qualify at the GS-13 grade level, 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. Examples of Specialized experience for this position includes: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment. Experience using one or more relevant data science programming languages such as, R, Python, SQL; the use of an integrated development environment (IDE) such as, RStudio. Experience leading the development and documentation of tools for assigned data programs and projects. Experience with evaluative methods based on analytical skills and experiences balancing project and technological risk of the advanced solution's design, development and implementation. Experience serving as subject matter expert identifying, developing, and integrating pertinent information, including internal and external sources, through various data collection procedures and technologies, including emerging data science and big data methodologies. Experience defining data science problems and generating solution designs. Experience applying effective communication, both orally and in writing to articulate findings and recommendations. Experience with data preparation methods such as, feature creation, exploratory data analysis, model creation, and data visualization. Experience developing machine learning and AI models. Experience using data analysis, data visualization, and data reporting tools such as Power BI or Tableau. Experience researching and applying internal guidelines, policies, and procedures in order to adapt them to varying circumstances, including resolving conflicts between directives and guidance from different sources.

Education

This position has a positive education requirement: A copy of your transcripts or equivalent documentation is required for positions with an education requirement, or if you are qualifying based on education or a combination of education and experience. An official transcript will be required if you are selected.

Failure to do so will result in loss of consideration.

Schools must be accredited by an accrediting institution recognized by the U.S. Department of Education. Accreditation may be verified at the following website: www.ed.gov/accreditation.

FOREIGN EDUCATION: Foreign education must be evaluated by a private professional organization specializing in interpretation of foreign education credentials or an accredited U.S. educational institution in terms of equivalence to a degree acquired at an American college or university. A copy of the evaluation results must be included, otherwise your foreign education will not be considered. 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.

Conditions of Employment Continued:

THIS ANNOUNCEMENT MAY BE USED TO FILL ADDITIONAL LIKE VACANCIES IN THE ANNOUNCED DUTY LOCATION.

Best qualified candidates will be responsible for arranging and paying for their own travel expenses in conjunction with any required interviews, unless they are already employed by the Office of Inspector General at the U. S. Department of Transportation.

Relocation Expenses will not be paid.

If you are relying on your education to meet qualification requirements:

Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.

Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.