*PLEASE NOTE THAT THIS VACANCY ANNOUNCEMENT IS ONLY OPEN TO CURRENT UNITED STATES POSTAL SERVICE OFFICE OF INSPECTOR GENERAL, UNITED STATES POSTAL SERVICE, UNITED STATES POSTAL INSPECTION SERVICE AND POSTAL REGULATORY COMMISSION EMPLOYEES. OTHER APPLICANTS WILL NOT BE CONSIDERED.

Duties

In-Office Requirement: The U.S. Postal Service, Office of Inspector General values collaboration, teamwork, and effective communication to foster our dynamic working and learning environment. The position adheres to our agency's telework policy to facilitate this and requires an in-office presence of at least two days per pay period. Remote work is not available for this role. This announcement provides the opportunity for a reassignment/promotion to the Data Scientist position in the Research and Insights Solution Center located in Arlington, Virginia. Bring your skills and voice to our team! The Research and Insights Solution Center (RISC) is the chief data and research component of the OIG, comprised of data scientists, data analysts, programmatic subject matter experts, geographic information system professionals, data engineers, research specialists, economists, and public policy analysts. Our analytics group offers the opportunity to drive value to the organization by designing and developing analytical solutions for auditors, investigators, and researchers. The RISC analytics group is currently seeking an experienced Data Scientist who will analyze both internal and external data and apply their comprehensive and expert knowledge to advise RISC on needs, operational impacts, strategic objectives, and other related issues. The USPS OIG uses a Pay Banding system, which is equivalent to the Federal GS scale. Grade and salary determinations will be made based upon a candidate's education and professional experience. This position is being advertised at the Journey Band level, equivalent to a GS-9 to GS-13. The salary range for this position is $68,405.00 - $153,354.00. The salary figures include locality pay. The salary figures include locality pay. Promotion potential to a GS-13 equivalent is at management's discretion. Please note that the duties and responsibilities associated with this position may vary based upon the agency's needs at the time of hire. The following description of major duties and responsibilities is only intended to give applicants a general overview of the expectations. Leverage USPS and 3rd party data sets to identify trends, risks, significance, and appropriate solutions for complex issues that involve major areas of uncertainty in approach, methodology, or interpretation Design experiments, tests hypotheses, and build scalable models using data science and artificial intelligence (e.g. machine learning, natural language processing, computer vision) Design and maintain data pipelines to support machine learning systems Monitor model performance for data drift and other anomalies and design systems to track performance and usage of ML models Apply best practices of software engineering to machine learning, including automation and CI/CD pipelines Operationalize machine learning models by deploying them in production environments Automate model training, deployment, and monitoring Develop statistical models and methodologies to predict, quantify, and evaluate various business metrics in support of audit, investigative, and business objectives Provide expertise and assistance in integrating advanced analytics working with leadership teams to find best in class business solutions Use relational databases, data lakes, and other data environments to wrangle large and disparate data sets to create a variety of analytic products and visualizations such as business intelligence tools, summary tables, comparison graphs, and link analysis charts Present analytic findings to the organization through understandable reports and visualizations Assess new technologies for solving business problems, including conducting proof of concepts to assess applicability, quality, and functionality Research, design, develop, adapt, and enhance analytical and reporting solutions using a range of analytics techniques, methods, and tools Make recommendations regarding how data is collected, used, and managed Use expert level knowledge to identify and develop sources of information from structured and unstructured data, criminal intelligence databases, public information sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports Develop and review written materials (such as reports, special analyses, proposals) and presentations to convey information, make recommendations and improvements concerning complex programs and functions to internal and external audiences, demonstrating varying levels of understanding of the organization's programs and activities Act as the subject matter expert for data analytics as it pertains to both predictive and prescriptive analysis and ensure alignment with industry best practices. Educate and empower the organization to apply new analytic techniques and software Prepare comprehensive documentation for requirements, test plans, user manuals, technical diagrams, and training materials

Requirements

• Must be a U.S. citizen
• Must be able to pass a drug screening and medical assessment questionnaire.
• Must be able to pass a background investigation
• Must be able to obtain and maintain Moderate Background Investigation security clearance
• Must be able to obtain and maintain a government-issued credit card
• May be required to successfully complete a 12-month probationary period

Qualifications

MINIMUM QUALIFICATIONS You must meet ALL of the minimum qualifications listed below. Bachelor's degree from an accredited college or university AND Must have demonstrated understanding of data science principles and business requirements gathering and their application in a business context AND Must have proven ability to thrive in a fast-paced environment with multiple priorities utilizing project management processes AND Must have 1 year of specialized experience in using an object-oriented programming language (Python (preferred), R, Scala, Rust, or Java) for data science and/or machine learning projects AND Must have 1 year of specialized experience with ML frameworks and libraries (e.g. TensorFlow, PyTorch, or Scikit-learn) AND Must have 1 year of specialized experience developing and presenting analytically derived findings to a business audience utilizing business intelligence tools such as PowerBI (preferred), Tableau, Qlik, or other similar products DESIRABLE QUALIFICATIONS Practical experience with cloud platforms such as Azure (preferred), AWS, or GCP Experience utilizing notebooks and tools (Databricks (preferred), Jupyter Hub, MLFlow, Prefect, or Seldon) for experiment tracking, model management, and workflow automation Experience in web app development utilizing front and back-end languages, libraries, and frameworks (e.g. HTML5/CSS, JavaScript, Typescript, jQuery, Bootstrap, Angular, Flask, Django, REST/SOAP APIs) Experience with and an understanding of DevOps pipelines and familiarity with the principles of continuous integration and continuous deployment (CI/CD) practices EVALUATION FACTORS You must have the experience, knowledge and skills as listed in EACH of the evaluation factors. Failure to demonstrate that you meet all of the evaluation factor requirements as listed below will result in a score of zero (0); an ineligible status, and you will not be referred for further consideration. Include your major accomplishments relevant to the position requirements in your resume. Ability to capture business requirements and adeptly identify and transform data into machine learning solutions, visualizations, dashboards, and presentations. Ability to identify the methods, processes, algorithms, and tools to produce analytically based findings from structured and unstructured data. Skill in training, tuning, evaluating, and using machine learning models using object-oriented programming languages (e.g. Python, R,). Demonstrated knowledge and skills with analytical problem solving, data analytics, analysis tools (e.g., Esri, Power BI), and Python programming. Strong ability to provide presentations or briefings of technical information both orally and in writing to clearly communicate analytical products, conclusions, and recommendations to executives, peers, and other stakeholders. Ability to set goals, priorities, and complete high-quality work in a timely, efficient, and professional manner applying project management practices such as agile or DevOps. You will no longer be considered for this position if you receive a zero (0) rating on any evaluation factor. Failure to demonstrate that you meet all evaluation factor requirements will result in a score of zero (0). Upon receipt of a zero score, you will be deemed "not minimally qualified," and you will not be referred for further consideration. Candidates will be evaluated on the skills that they possess that are directly related to the duties of the position and the experience, education and training that indicate the applicant's ability to acquire the particular knowledge and skills needed to perform the duties of the position. Only those candidates who meet all qualification and eligibility requirements and who submit the required information by 11:59 PM EST on 06/07/2024 will be considered.

Education

Education must be accredited by an institution recognized by the U.S. Department of Education. Applicants can verify accreditation here: www.ed.gov/admins/finaid/accred. Special Instructions for Candidates with Foreign Education: Education completed outside the United States must be deemed equivalent to that gained in U.S. education programs. You must submit all necessary documents to a private U.S. credential evaluation service to interpret equivalency of your education against courses given in U.S. accredited colleges and universities. For further information visit: http://www2.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html.

Contacts

• Address AIG Research Insight Solution Center 1735 North Lynn Street Arlington, VA 22209 US
• Name: Vacancy Inquiries
• Email: [email protected]