OPENTEXT - THE INFORMATION COMPANY

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.
AI-First. Future-Driven. Human-Centered.
At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We’re hiring talent that AI can’t replace to help us shape the future of information management. Join us.
OpenText Business Network is a cloud platform that facilitates efficient, secure and compliant collaboration across digital ecosystems of people, systems and things. The platform comprises solutions that simplify the inherent complexities of business-to-business (B2B) data exchange and offers insights that drive operational efficiencies, speed time to revenue and improve customer satisfaction
Your Impact: A Development role at OpenText is more than just a job; it’s an opportunity to impact lives. As a key contributor, you’ll be instrumental in constructing cutting-edge Information Management Solutions that contribute to sustainable supply chains, support refugees, and enhance medical information access to save lives. You will engage in solving meaningful challenges within a motivated team, gaining exposure to advanced technologies beyond individual access. You will be encouraged to cultivate an engineering mindset, driving the creation of innovative software solutions that address real-world problems and shape the future.
This hybrid role combines hands-on software development with practical data science. You will play a key role in defining approaches to adaptive forecasting and anomaly detection.

As a Senior Software Engineer / Data Scientist, you will have opportunities to:

• Design and implement forecasting models to predict trends in transactional EDI and ERP data (e.g., purchase orders, invoices, shipments).
• Develop anomaly detection algorithms to identify irregularities in data flows, system behavior, and business processes.
• Apply statistical, machine learning, and deep learning techniques to large-scale structured and semi-structured datasets.
• Translate your ideas into commercial software solving customer problems.
• Monitor model performance and continuously improve accuracy and reliability.
• Document and communicate findings, methodologies, and system designs to technical and non-technical stakeholders.