Solution Architect, Data Science

About Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Solution Architect, Data Science. In this role, you will have the opportunity to design scalable, data-driven solutions for prominent retail organizations. Your expertise will contribute significantly towards enhancing supply chain data science initiatives, providing insights through forecasting and business analytics. By leveraging advanced AI platforms, you will drive impactful changes across global retail ecosystems, ensuring that our partner company stays at the forefront of industry innovation.

Job Summary

As a Solution Architect, you will be part of the EMEA Retail Solution Architecture Team to drive technology adoption at key Retail & CPG customers.

Key Responsibilities

• Act as a trusted technical advisor and deploy AI solutions using Data Processing for Retail.
• Lead customer proof-of-concepts (PoCs) for next-gen platforms for retail solutions.
• Collaborate with engineering and sales teams on innovative AI optimization techniques.
• Drive adoption of modern computing platforms using NVIDIA’s Accelerated Compute Technologies.

Requirements

• MS or PhD in Computer Science, Engineering, Mathematics, or related technical field (or equivalent experience).
• 5+ years of experience in data architecture, data science solutions, or large-scale analytics systems.
• Demonstrated industry knowledge of Retail Analytics including demand forecasting and supply chain optimization.
• Experience with ML frameworks or data science stacks (PyTorch, TensorFlow, RAPIDS, etc.).
• Deep understanding of data pipelines, ETL processing, and real-time data streaming.
• Excellent communication and presentation skills capable of engaging technical and non-technical audiences.

Benefits

• Opportunity to work with leading AI platforms and technologies.
• Collaborative and innovative work environment.
• Access to cutting-edge tools and resources.
• Possibility for professional growth and development.
• Flexible working conditions supporting remote work.