Data Science Architect

About the role

From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Where you can make a difference. Where no two days are the same.

What you'll do

• Design scalable, secure, and high-performance data science and machine learning architectures to support advanced analytics and AI-driven decision-making
• Lead the architecture and implementation of end-to-end analytical solutions, from data acquisition and feature engineering to model deployment and monitoring
• Establish standards, frameworks, and best practices for data science, machine learning, MLOps, model governance, and AI solution development
• Collaborate with business, product, technology, and analytics stakeholders to identify opportunities and translate business challenges into data science solutions
• Define architectures for predictive analytics, forecasting, optimization, recommendation systems, NLP, computer vision, and other advanced analytical applications

What you need

• Machine learning
• SQL
• Python
• MLOps
• NLP
• Deep learning
• Any graduate

Good to have

• AWS
• LLMs
• R
• Spark
• Hadoop
• CI/CD