Summary
- 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 orNATO 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.
- 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.
- 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.
- Practical experience with PC office automation products, including the use of internet for information research.
Fluent in English (Written and Oral).
NATO SECRET-level security clearance or active SECRET security clearance issued by a national authority.
This is not necessarily an all-inclusive list of job-related responsibilities, duties, skills, efforts, requirements or working conditions as indicated by the client. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned. All job requirements are subject to possible revision to reflect changes in the position requirements or to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a threat or risk to the health and safety of themselves or other employees. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliant with Federal and State Laws). Continued employment remains on an “at-will” basis.
C² Technologies, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions. EOE/M/F/Disabled/Veteran.