NVIDIA

Solution Architect, Data Science – Retail

NVIDIA

full-time

Posted on:

Location Type: Hybrid

Location: 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

CloudETLPyTorchTensorflow

About the role

  • Be part of our EMEA Retail Solution Architecture Team driving NVIDIA technology adoption at key Retail & CPG customers
  • Secure design wins in both Data Center, Edge and Cloud Deployments
  • Become a trusted technical advisor with our customers
  • Work on exciting projects and deploy AI solutions in production using Data Processing for Retail
  • Lead customer proof-of-concepts (PoCs) of next-gen platforms for deploying Retail Industry solutions to key use-cases like forecasting, logistics, and customer recommendation and personalization, real-time and at scale
  • Collaborate with NVIDIA Engineering, Product, Sales teams on innovative AI optimization techniques
  • Drive adoption of NVIDIA's Accelerated Compute Platforms with focus on growing our customer's Software, DevOps and MLOps capabilities

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
  • Detailed industry knowledge of Retail Analytics (demand forecasting, supply chain optimization, personalized recommendations)
  • Experience with ML frameworks or data science stacks (PyTorch, TensorFlow, RAPIDS, etc.)
  • Deep understanding of data pipelines, ETL processing, and real-time data streaming
  • Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing
  • Excellent communication and presentation skills with the ability to drive technical discussions with both engineers and executives.
Benefits
  • Health insurance
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata science solutionslarge-scale analytics systemsML frameworksPyTorchTensorFlowRAPIDSdata pipelinesETL processingreal-time data streaming
Soft skills
collaborationcommunicationpresentationtechnical discussionstrust building
Certifications
MS in Computer SciencePhD in EngineeringPhD in Mathematics