CONTINGENT UPON CONTRACT AWARD

Data Scientist

Norfolk, VA

Job Duties:

1. 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 Programme.

2. 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.

3. Applies existing data science techniques to new problems and datasets using specialised programming techniques to meet needs of the project and customer.

4. Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use.

5. Publishes and reports on machine learning model outputs to meet customer needs and conforming to agreed standards.

6. Has in-depth knowledge of NLP, application of ML, or computer vision.

7. Has experience with Generative AI.

8. Supports review of data science and AI activities, processes, products or services.

9. 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.

10. Provides subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develop proofs of concept, as directed.

11. Supports internal and external communities that bring together DS & AI practitioners and consumers.

12. Supports development of scientific studies.

13. Supports educational efforts and training development related to data, AI or digital literacy.

14. Remains up-to-date with new developments in data science and AI to bring innovative ideas into implementation.

15. 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.

16. Performs additional tasks as required by the COTR related to the LABOR category.

Qualifications:

1. A Master's degree or higher at a nationally recognised/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.

2. Proven work experience as a Data Scientist, ML Engineer or a similar role in the last four years.

3. Proficient in Machine Learning/AI, statistical and mathematical analysis.

4. Experience in modern software architecture and software development related to data science, analytics and AI, e.g. Python, SQL, R.

5. Experience with machine learning and AI frameworks, using e.g. TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks.

6. Experience with planning, executing and maintaining Data Science pipelines.

7. Experience visualizing data and producing high quality graphs and reports, charts and interactive dashboards using tools such as Tableau, MS Power BI, Kibana.

8. Experience with agile methodologies.

9. Experience in providing training in various areas related to data science, analytics, and AI at different technical levels.

10. Portfolio of demonstrable products available via GitLab, or other platforms.

11. Ability to work in a cloud environment, in particular Microsoft Azure, or Amazon Web Services.

12. Working experience in an international environment with both military and civilian elements.

13. Proven ability to communicate effectively orally and in writing, with excellent briefing skills.

14. Demonstrated proficiency in English as defined in STANAG 6001 (Standardized Linguistic Profile (SLP) 4334 - Listening, Speaking, Reading and Writing) or equivalent.

15. Valid NATO Nation passport with no travel restrictions to NATO nations.

Desired Qualifications:

1. Experience working within a Big Data ecosystem, with tools such as Databricks, Spark etc.

2. Experience working with open source and publicly available data.

3. Experienced 'data storyteller'.

4. Experience working on a military staff.

5. Knowledge of NATO organization and its functions.

6. Experience in project management.

Other Requirements:

US Citizenship required for this Position: Yes
Performance Location: Norfolk, VA
Relocation Assistance: No
Clearance Type: Active NATO or National Secret (or higher)

Working Environment:

The usual daily work conditions will be in an office environment located at Norfolk, VA. The job requires occasional lifting of computer and other equipment, generally not in excess of 50 lbs.

Applied Training Solutions, LLC is a leading simulations company providing innovative systems, products, and solutions to government and commercial customers.

Applied Training Solutions, LLC is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions.