EXPERIENCE AND EDUCATION:
Essential Qualifications/Experience:
BSc/BA in Computer Science Engineering or relevant field
A higher degree in Data Science is preferred
3 years of practical experience in the field of data science and/ or data analytics
Experience using business intelligence and visualization tools (e.g. ArcGIS (Insights Dashboards Web Experience Knowledge) PowerBI Tableau) data programming skills (e.g. Python R Neo4j s Cypher and SQL)
Experience using data visualization/analytics software packages and development environments such as ArcGIS (Pro Notebooks) KNIME AWS MS Azure or similar
Experience in data validation and ability to evaluate the quality and effectiveness of data sourced for analysis
Experience of data analysis in geospatial resilience political decisionmaking military C2 hybrid threats
Have an indepth knowledge of the execution of tasks similar to the ones specified in this SOW including data mining preprocessing of structured and unstructured data data analysis and visualization dashboard development employment of data algorithms NLP and machinelearning as well as understanding broader issues concerning the responsible development and employment of Artificial Intelligence
Knowledge of NATO responsibilities and organization including NCIA IS IMS ACO and ACT
Knowledge of NATO responsibilities and organization including INFOSEC/COMSEC procedures
DUTIES/ROLE:
Apply available data and tools to deliver data analytics and data science products such as data visualisation dashboards and implement the dashboards in a production environment on NATO classified networks
Design of automated data integration analytics and data science models for selected use cases including defining requirements proposing data sources and machinelearning algorithms to use and designing data visualisation product
Further development and enhancement of the Data Exploitation and AI Programme Synch Dashboard to include e.g. automated data ingestion. Deployment into the NATO business networks to enable access and maintenance by NATO staff across the Enterprise with a focus on HQ
Independently validate external data and reports on data quality
Deliver and refine initial data analytics and visualisation products
Presentation of data visualization products to user communities and subsequent product refinement based on user feedback
Training staff on the use of dashboards and available data analytics and data science tools
Close engagement with the NCIA EDS&AI team in The Hague through digital collaboration tools plus one day in The Hague every second sprint1
Produce sprint completion reports (format: email update see Section 4) which include detail of activities performed