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Summary This position is located in the U.S. Department of Transportation (DOT), Data Scientist, supports leaders across the Department by developing strategies and carrying out initiatives for analyzing and leveraging highly complex data related to budget, performance, and financial management. Responsibilities The Data Scientist: Collaborates with team members, subject matter experts, or stakeholders, as needed, to identify and select relevant data sources to perform duties. Obtains, evaluates, and interprets data extracts and reports from various systems; assessing relevant data source validity and reliability to meet project needs. These datasets come from diverse sources and in diverse forms that include computerized statistical files, manual or automated program reporting systems, program files, and ad hoc information obtained from internal and external sources. Ensures data sources are fit for their intended purpose through assessment of potential data quality issues, such as bias in data ingestion or transmission mechanisms. Data sources commonly used in this role include financial system data, demographic data, and program outcome data, as well as unstructured and narrative information found in program or policy utilization reports, safety systems, economic and social indicators, environmental impacts, and other qualitative and quantitative research. Uses software and/or programming languages, such as R, Python, SQL, Tableau, or PowerBI, to transform, combine, and clean data in preparation for analysis. Applies appropriate data wrangling techniques, such as probabilistic matching and imputation of missing values, to clean and prepare imperfect datasets. Works with teams to develop suitable datasets for ad hoc and ongoing analytic uses, with an emphasis on long-term automation and replicability where appropriate. Independently analyzes data leveraging suitable statistical and mathematical methodologies. Is familiar with methods of exploratory data analysis, selecting appropriate models and identifying when data is insufficient to reach valid conclusions. Conducts observational and statistical analyses using appropriate software and/or programming languages to test hypotheses, predict outcomes, and inform decisions. Is comfortable working with large, semi-structured and unstructured datasets and numerous confounding variables. Solves technical problems by choosing appropriate tools and techniques. Is able to explain any data structure or quality constraints impacting study designs to both technical and non-technical audiences. Develops standard queries and reports to be used by program stakeholders. Develops concise, plain-language reports and presentations that translate complex analytics concepts, findings, and limitations for non-technical audiences. Develops illustrations and visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences, communicating statistical modeling results as measures of the business’s impact. The Office of the Secretary is seeking professionals who are passionate about data and how the government can use to data to be more effective and efficient. The ideal candidate will be highly motivated to solve problems and work on high functioning analytics teams that address complex challenges from all across the Department. These skills should accompany strong analytical, writing and communications skills and the ability to work with a wide range of stakeholders. PLEASE NOTE: This announcement establishes an open continuous (3 month) vacancy announcement. Given our continuing need for top professionals in this field, we will review applications on an as needed basis. Duty locations will vary. The difference in salary is determined by the locality pay in each location. Salaries for all areas are available on the OPM website at: https://www.opm.gov/policy-data-oversight/pay-leave/salaries-wages/2024/general-schedule/. Requirements Conditions of Employment You must be a U.S.Citizen and eligible for consideration. Required documents must be submitted by the closing date. Submit application and resume online by 11:59 PM EST on the closing date. CONDITIONS OF EMPLOYMENT: SELECTIVE SERVICE: Males born after 12/31/1959 must be registered for the Selective Service. POSITION SENSITIVITY AND RISK: Varies by position and will be based on the position to which appointed. SECURITY CLEARANCE: Varies by position. If applicable, you must be able to obtain and maintain the appropriate security clearance of the position to which appointed. BACKGROUND INVESTIGATION: You may be required to complete a background/security investigation and meet preliminary requirements prior to onboarding. DRUG TESTING: Varies by position. Individuals tentatively selected for drug testing designated positions will be required to complete testing prior to appointment or placement. GOVERNMENT TRAVEL CARD: Travel will vary by position. If the position requires travel, a government contractor-issued travel card will be issued and must be retained for official business only. FINANCIAL DISCLOSURE: Varies by position. If applicable, the applicant selected is required to submit a Confidential Financial Disclosure Report (OGE Form 450) within 30 days of appointment and annually thereafter. PCS/RELOCATION/RECRUITMENT: Permanent Change of Station (PCS), Relocation, and Recruitment Incentive authorization varies by position/selection and a service agreement may be required. PROBATIONARY PERIOD: Varies by position and is determined by the hiring agency. If selected, a one-year or two-year probationary period may be required. FOR DIRECT HIRE CANDIDATES: You must complete a one-year probationary period (unless already completed). FOR GOVERNMENT CANDIDATES: Federal applicants must have served 52 weeks at the next lower grade in the competitive or excepted service in the executive branch to satisfy time-in-grade restrictions contained in 5 CFR 300, Subpart F. Qualifications To meet the minimum qualifications for this position, you must meet either the education or specialized experience requirements for the grade at which you are requesting consideration. To qualify for the GS-11 on Experience, you must have at least one year of experience equal or equivalent to the GS-09 it must include: Reviewing, analyzing, and providing information from multiple systems to prepare data reports. Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation. To qualify for the GS-11 on Education alone, you must have: 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. You can also qualify based on a combination of higher level graduate education and experience. This must be fully supported by your resume and transcripts, provided with your application. To qualify for the GS-12 on Experience, you must have at least one year of experience equal or equivalent to the GS-11 it must include: Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation. Applying statistical analyses to determine the fitness-for-use of new or combined data sources, machine learning outputs, and data science methods. You cannot qualify on education at the GS-12 level; you must have experience. To qualify for the Grade 13, you must have at least one year of experience equal or equivalent to the GS-12, it must include: Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes. Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation. To qualify for the Grade 14, you must have at least one year of experience equal or equivalent to the GS-13, it must include: Designing and developing of data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence. Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes. Identifying problematic issues and reporting discrepancies and providing appropriate recommendations to leadership. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: Data Management - Knowledge of the principles, procedures, and tools of data management, such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data archiving, data disposal, and data standardization processes. Detailed knowledge of system interrelationships, sources of data, flow of information and availability of data among the various users, governmental agencies and private sector organizations. Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services. For all types of consideration, 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). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. For additional information about applying to Federal positions, please click on the following link: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-policies/#url=e4 All applicants must meet all qualification requirements by the closing date of this announcement. Education Basic Requirements: 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 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. Additional Information ADDITIONAL CONDITIONS OF EMPLOYMENT: REMOTE WORK: This position may be eligible for Remote Work. Remote work is an arrangement in which an employee works at an alternative worksite (e.g., from home) and is not expected to report to the office to work. Remote work location will be determined upon/after selection and may affect locality pay. If selected as a remote work position, must have access to high speed internet and cell phone service meeting current Agency standards from the approved work location within the Contiguous United State and sign a remote work agreement. The difference in salary is determined by the locality pay in each location. Salaries for all areas are available on the OPM website at: https://www.opm.gov/policy-data-oversight/pay-leave/salaries-wages/2022/general-schedule/ This announcement may be used to fill additional Merit Promotion positions if similar vacancies occur within 90 days of the issue date of the referral certificate.