Junior Data Scientist (26)

• Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise.
• Contribute to 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.
• Apply existing data science techniques to new problems and datasets using specialised programming techniques to meet needs of the project and customer.
• Evaluate the outcomes and performance of data science models. Identify and implement opportunities to train and improve models and the data they use.
• Publish reports on machine learning model outputs to meet customer needs and conforming to agreed standards.
• Experience of NLP, ML engineering, or computer vision.
• Support review of data science and AI activities, processes, products or services.
• Work in conjunction with other data professionals, software engineers and SMEs from different functional areas, as directed.
• Support development and maintenance of data pipelines for structured and unstructured data.
• Provide subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develop proofs of concept, as directed.
• Support internal and external communities that bring together DS & AI practitioners and consumers.
• Support development of scientific studies.
• Support educational efforts and training development related to data, AI or digital literacy.
• Remain up-to-date with new developments in data science and AI to bring innovative ideas into implementation.
• Support 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.
• Perform additional tasks as required by the COTR related to the LABOR category.

Requirements

• A Bachelor of Science degree or equivalent from a recognized university in data science, AI, applied math, statistics, physics or a related discipline, OR two years minimum professional experience in the area of data science.
• Proven work experience as a Data Scientist, Data Analyst or a similar role in the last two years.
• Experience in modern software architecture and software development related to data science, analytics and data integration, e.g. Python, SQL, R, KNIME.
• Experience with data science tools to support data analytics and data visualisation.
• Experience involving the support to data focused operations. Such experience should encompass at least 2 skills listed below:
  • Experience of working within a Big Data ecosystem, with tools such as Databricks, Spark etc.
  • Knowledge of Machine Learning/AI, statistical and mathematical analysis
  • Planning, executing and maintaining Data Science pipelines.
• Experience with agile methodologies.
• A Master’s degree or higher at a nationally recognised/ certified university in a relevant discipline (Data Science, AI engineering).
• Experience with data presentation and visualisation tools, e.g. Microsoft Power BI, Tableau, Kibana, etc.
• Experience visualizing data and producing high quality graphs and reports, charts and interactive dashboards.
• Experience with machine learning and AI frameworks, e.g. TensorFlow, PyTorch, scikit-learn, or other machine learning frameworks.
• 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.
• Understanding of the NATO organization and its functions.
• Experience in project management.
• NATO Secret clearance or national equivalent