We are a company of innovators, thinkers, creators, explorers, volunteers and dreamers who all share one goal — to improve the world.
We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 80 countries and operations in over 30 countries.
For 65 years, KBR and its heritage companies are proud to have delivered some of Australia's largest and most complex projects.
With around 2,000 employees in 6 primary offices throughout Australia, we are committed to social and environmental sustainability and delivering projects with a digital mindset driving innovation within our business and for our customers.
We help ensure mission success on land, in the air, at sea, in space and cyberspace for our defence customers.
From individual technologies and services to comprehensive project delivery and mission execution, no other company can match the breadth and depth of KBR.
KBR comprises a diverse team who provide a broad spectrum of capabilities across Australia and the Asia Pacific. Our proven project teams readily address complex and multi-disciplinary activities, providing low-risk and cost-effective solutions to the defence force.
The Opportunity: Be at the forefront of data-driven decision-making by joining the MSP Joint Domain as a Data Scientist. Your expertise will enable the integration of intelligent datasets, process automation, and advanced analytics where you'll play a key role by enhancing mission-critical data solutions.
This is a full-time permanent position, based in RAAF Base, Edinburgh – South Australia. Interstate applicants are welcome to apply however relocation to South Australia will be required. This position will require an active AGSVA NV1 clearance and the successful candidate must be willing to upgrade to an NV2. Key Responsibilities: Develop and implement data ingestion tools for integrating intelligence datasets.Automate data transformation, validation, and curation processes.Design and deploy data analytics and visualization tools for enhanced decision-making.Identify, resolve, and track data discrepancies across multiple sources.Collaborate with analysts to fuse complex datasets and derive actionable insights.Create predictive models and algorithms to simulate scenarios and enhance data accuracy.Generate automated reporting solutions tailored to stakeholder requirements.Required Qualifications, Experience and Knowledge: Bachelor's degree in Data Science, Computer Science, or a related field.Experience in large-scale data management, curation, and analysis.Proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI).Knowledge of statistical modeling, machine learning, and simulation frameworks.Strong problem-solving skills and attention to detail in ambiguity analysis.If you're ready to shape tomorrow, let's get started. Apply Now!
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