Data Analysis Services for Innovation PoW

看过: 105

更新日: 03-11-2025

位置: Mons Hainaut

类别: IT-软件

行业:

水平: Mid-Senior level

工作类型: Full-time

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工作内容

This is a remote position.

Experience And Education

Essential Qualifications/Experience:

Bachelor’s degree in a relevant field (computer science, data science, software engineering, machine learning, etc.) or equivalent experience
5+ years of experience in a mid-level data analytics role
Strong understanding of AI and its potential applications in data analysis – particularly Natural language processing (NLP) techniques, language models and multilingual technologies
Strong programming, data modelling, and data visualization skills, including Python, SQL, PowerBI, R, TensorFlow and NoSQL DBs
Experience with Extract, Transform, Load tools and techniques integrating with REST APIs and document management systems
Proven experience with technology horizon scanning techniques and identification of technology trends and high potential use-cases
Proven experience with media monitoring, media data analysis, threat analysis in text and text classification
Proven experience with software/tool development in the area of strategic foresight analysis and horizon scanning

Desirable Qualifications/Experience

Relevant experience with NATO and/or international organizations is highly desired

Duties/Role

Support NCI Agency in the NATO Programmes of Work with ACT and NDS in the area of Science & Technology and Innovation
Gather and analyze vast amounts of data from diverse sources, including scientific publications, news articles, social media, and market reports
Perform horizon scanning and trend-scouting activities in the area of emerging and disruptive technologies by detecting promising technologies as well as potential applications
Design and implement data models, repositories, and ETL pipelines to capture and record signals from diverse sources as a structured dataset to enable ad-hoc analysis and reporting
Develop clear, concise, and actionable reports to communicate your findings to stakeholders across the organization
Develop dashboards to enable monitoring of the analysis results
Utilize natural language processing (NLP) and other AI techniques to analyze vast amounts of data from diverse sources

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