Data Scientist, Nato-Act

EEO STATEMENT
Yorktown Systems Group, Inc. is an Equal Opportunity Employer. No employee or applicant for employment is denied equal opportunity because of race, color, sex, national origin, religion, age, disability, marital status, pregnancy, sexual orientation, gender identity, genetic information, any other non-merit-based factor, or other characteristics protected by law. As part of the company's equal employment opportunity policy, Yorktown Systems Group, Inc. will also take affirmative action as called for by applicable laws and Executive Orders to ensure that minority group individuals, females, disabled veterans, recently separated veterans, other protected veterans, Armed Forces service medal veterans, and qualified disabled persons are introduced into our workforce and considered for promotional opportunities.
ABOUT THE ORGANIZATION
Yorktown Systems Group, Inc. is a committed team of dedicated former military and civilian professionals who believe in providing ethical and quality services to Government customers. Our leadership team is composed primarily of Veterans who are now serving in a corporate environment rather than in uniform. Our customer's missions become our own and we are committed to working as a team to achieve success.
Because of the depth and experiences of our corporate leadership, we can assure all our customers that "we will do what we say we can do" and will focus on our customer's missions rather than corporate goals. Our business model is based on a personal commitment from our leaders to maintain contact with our customers to continually and consistently gauge our performance.
Yorktown Systems Group was founded on the idea that providing quality and ethical services with a laser focus on our customer's goals is an effective long-term business model. Our mission, therefore, is to help our customers meet their requirements and goals.
The contractor will not discharge or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. This provision shall not apply to instances in which an employee who has access to the compensation information of other employees or applicants as a part of such employee's essential job functions discloses the compensation of such other employees or applicants to individuals who do not otherwise have access to such information, unless such disclosure is in response to a formal complaint or charge, in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or is consistent with the contractor's legal duty to furnish information.
Job Title
Data Scientist, NATO-ACT
Location
Norfolk, VA - Norfolk, VA 23501 US (Primary)
Category
Contractors
Job Description
Summary:
Yorktown Systems Group is seeking a qualified Data Scientist to support NATO's Allied Command Transformation (ACT). The main objectives of the ACT are to provide appropriate support to NATO missions and operations; lead NATO military transformation; improve relationships, interaction and practical cooperation with partners, nations and international organizations.
The Data Science & Artificial Intelligence (DS&AI) Section in the Federated Interoperability Branch is part of the CAPDEV Requirements Division. The DS&AI section provides a broad spectrum from strategy and policy development, and support to technical delivery and implementation to HQ SACT and the NATO Enterprise. In addition to serving as the center of gravity for HQ SACT's efforts in advancing data centricity and integrating rapidly changing technology related to data exploitation, the section has developed substantial influence inside NATO and is regularly invited to offer policy and technical expertise. It plays a major role in developing and delivering Data Exploitation (Data Science, Data Analytics) and Artificial Intelligence as crosscutting enabling capabilities, and facilitates NATO's evolution into a digitally transformed, data centric, and Multi-Domain Operations (MDO)-enabled Alliance by 2030. Within HQ SACT, the DS&AI section works as a cross-functional element in support of all directorates and in close coordination with the Digital Transformation directorate within workforce and prioritization constraints.
Specific duties may include, but are not limited to:

• As a member of the Data Science & Artificial Intelligence Section, responsible to the Section Head/COTR, the contractor will contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise in particular in the context of the ongoing implementation of the Data Exploitation Framework and Program.
• Identifies, contributes to and implements ML/AI initiatives across HQ SACT and the NATO Enterprise with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets.
• Applies existing data science techniques to new problems and datasets using specialized programming techniques to meet needs of the project and customer.
• Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use.
• Publishes and reports on machine learning model outputs to meet customer needs and conforming to agreed standards.
• Has in-depth knowledge of NLP, application of ML, or computer vision.
• Has experience with Generative AI.
• Supports review of data science and AI activities, processes, products or services.
• Works in conjunction with other data professionals (such as Data Scientists, data and information managers, data engineers), software engineers and SMEs from different functional areas, branches and directorates within HQ SACT or NATO entities, as directed, for example in support of Minimum Viable Product (MVP) development of the ACT Innovation Branch.
• Provides subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develop proofs of concept, as directed.
• Supports internal and external communities that bring together DS & AI practitioners and consumers.
• Supports development of scientific studies.
• Supports educational efforts and training development related to data, AI or digital literacy.
• Remains up-to-date with new developments in data science and AI to bring innovative ideas into implementation.
• Supports building a data-driven culture that uses analytics to generate insights, improve decision making at all levels, inform strategy and policy decisions, and improve performance.
• Performs additional tasks as required by the COTR related to the LABOR category.

Job Requirements
Required Qualifications:

• A Master's degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR four years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last five years.
• Proven work experience as a Data Scientist, ML Engineer or a similar role in the last four years.
• Proficient in Machine Learning/AI, statistical and mathematical analysis.
• Experience in modern software architecture and software development related to data science, analytics and AI, e.g. Python, SQL, R.
• Experience with machine learning and AI frameworks, using e.g. TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks.
• Experience with planning, executing and maintaining Data Science pipelines.
• Experience visualizing data and producing high quality graphs and reports, charts and interactive dashboards using tools such as Tableau, MS Power BI, Kibana.
• Experience with agile methodologies.
• Experience in providing training in various areas related to data science, analytics, and AI at different technical levels.
• Portfolio of demonstrable products available via GitLab, or other platforms.
• Ability to work in a cloud environment, in particular Microsoft Azure, or Amazon Web Services.
• Working experience in an international environment with both military and civilian elements.
• Proven ability to communicate effectively orally and in writing, with excellent briefing skills.

Desired Qualifications:

• Experience working within a Big Data ecosystem, with tools such as Databricks, Spark etc.
• Experience working with open source and publicly available data.
• Experienced 'data storyteller'.
• Experience working on a military staff.
• Knowledge of NATO organization and its functions.
• Experience in project management

Clearance: Must possess an active NATO or U.S. SECRET or higher security clearance.
Location: Norfolk, VA
Travel: CONUS and OCONUS travel may be required.
Job Type
Full-time
Exemption Type
Exempt
Travel
Some travel may be required