Data Scientist
Defense Counterintelligence and Security Agency
Summary DCSA Acquisition and Technology, National Background Investigation Services (NBIS) is looking for non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The incumbent will provide support, guidance and expertise in various Data Scientist functions. Performs a variety of duties that involve knowledge of a wide variety of Data Scientist applications, environments, and methods. Visit Learn more about this agency Duties Help This position may be filled at either GG-07 or GG-09 grade level, please indicate the grade for which you want to be considered. Incumbent may be advanced non-competitively to the established target grade upon meeting developmental benchmarks, performance requirements, and other requirements, as applicable established for the career program or specifically for the incumbent. As a Data Scientist you will be responsible for the following duties:
- Performs professional work in data science, intelligence, artificial intelligence/machine learning (AI/ML), system analysis, risk analysis, predictive analysis and computer simulation.
- Applies analytic methods such as regression, decision tree and statistical probability to improve data reliability and quality.
- Identifies, collects and analyzes data to effectively support and advance projects or programs.
- Uncover and explain actionable insights from data by combining scientific method, math and statistics, specialized programming, advanced analytics, AI, and storytelling to major organizations, government officials and key stakeholders.
- Collaborate with team members and stakeholders to ensure data accuracy and consistent reporting.
- Implements strategies for system development and analysis, operational logistics, project funding/budgeting, project cost, schedule and performance management.
- Manages and plans sequence of operations on a regular basis for assigned elements.
- Must be a US citizen
- Selective Service Requirement: Males born after 12-31-59 must be registered for Selective Service. For more information
- Resume and supporting documents received by 11:59PM EST will be considered
- This is a Drug Testing designated position
- Position is a (DCIPS) position in the Excepted Service under U.S.C. 1601
- Work Schedule: Full Time
- Overtime: Occasionally
- Tour of Duty: Flexible
- PCS (Permanent Change of Station): May be Authorized
- Fair Labor Standards Act (FLSA): Exempt
- Financial Disclosure: Not Required
- Telework Eligibility: Supervisors may approve situational telework on a case-by-case, temporary basis for limited situations.
- If selected, the incumbent must obtain and maintain appropriate security clearance as indicated in job announcement.
- In accordance with DoDD 8140.01/DoDI 8140.02, the position compliance requirement details are outlined in the Defense Cyber Workforce Annex.
- Any Information Technology/Security certifications / education specified in the DCWF Annex as defined by DoD 8140-M within six months of appointment date.
- The incumbent must sign a Statement of Understanding regarding the certification requirements and maintaining the appropriate certification is a condition of employment.
- This position requires Defense Acquisition Workforce Improvement Act Foundational certification in Engineering and Technical Management and is expected to meet all related certification requirements per the Department of Defense Instruction 5000.66.
- However, applicants that do not meet this requirement are eligible to be hired but must obtain a Engineering and Technical Management Foundational certification within 3 years (36 months) after the first day of starting in the position.
- Data Mining - Computing process of discovering patterns in a large data set involving methods at the intersection of machine learning, statistics, and database systems.
- 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 disposal, and data standardization processes.
- Software and Programming - Leverage and optimize the use of existing OIG specific software (such as Cloudera Data Platform, Cloudera Data Flow (Apache Nifi), Tableau, DataWalk), while recommending future software mix. Understand a variety of programming languages (such as Java/Javascript, Scala, Python, C/C#/C++, R) as needed to meet software and business needs. Understand a variety of data warehousing platforms (such as Cloudera/Hive, Oracle, SQL, MySQL, NoSQL), big data software (such as Tableau, DataWalk, Apache Hadoop/Spark, ArcGIS), and data science project management and version control applications (such as JIRA, Agile).
- Qualitative / Quantitative Analysis - Developing and applying quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets.
- DAWIA (Back to Basics) Certification: NON-CAP: Position requires DoD Acquisition Foundational certification in Engineering & Technical Management within required timeframes. Selectee must also achieve 80 hours of Continuous Learning Points (CLPs) every 2-years. Click here for more details and Resources.
Vacancy posted 4 days ago
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