Jr. Data Analyst

Jr. Data Analyst/ Scientist

Location: Norfolk, VA

Type W2 w/ benefits

 Secret Clearance Required

Junior Data Scientist to assist our NATO ACT customer with the capture, development, architecture, data science, operational analysis, and quality assurance of capability requirements. Data science, data analytics and Artificial Intelligence (AI) are increasingly gaining momentum in NATO touching all military and political domains and functional areas. In response to HQ SACT’s understanding of the disruptive potential of data science and AI, and recognizing the strategic value of data, the Data Science & Artificial Intelligence section is focusing on data science and AI as cross-cutting and enabling capabilities for HQ SACT and the NATO Enterprise.

Responsibilities:

Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise.

Identify, contribute to and implement 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 specialized 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 conform to agreed standards.

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

Support development and maintenance of data pipelines for structured and unstructured data.

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.

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.

Qualifications

A Master’s 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 visualization.

Experience involving the support to data focused operations, to include Big Data ecosystem, , Knowledge of Machine Learning/AI, statistical and mathematical analysis Planning, executing, and maintaining Data Science pipelines.

Experience with agile methodologies.

Experience with data presentation and visualization tools, e.g. Microsoft Power BI, Tableau, Kibana, Databricks, Spark 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.

Experience in project management.