Senior Data Scientist With eComm Analytics - Remote / Telecommute

Job Details

Job Description:

Responsibilities:

• Work with Walmart's AI/Client Platform Enablement team within the eCommerce Analytics team.
• The broader team is currently on a transformation path, and this role will be instrumental in enabling the broader team's vision.
• Work closely with other Data Scientists to help with production models and maintain them in production.
• Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs, etc.
• Improve the model deployment process for MLE for faster builds and simplified workflows.
• Be a technical leader on various projects across platforms and a hands-on contributor of the entire platform's architecture.
• Responsible for leading operational excellence initiatives in the AI/Client space which includes efficient use of resources, identifying optimization opportunities, forecasting capacity, etc.
• Design and implement different flavors of architecture to deliver better system performance and resiliency.
• Develop capability requirements and transition plan for the next generation of AI/Client enablement technology, tools, and processes to enable Walmart to efficiently improve performance with scale.

Tools/Skills:

• bility to transform designs ground up and lead innovation in system design.
• Deep understanding of GenAI applications and NLP field.
• Hands-on experience in the design and development of NLP models.
• Experience in building LLM-based applications.
• Design and development of MLOps pipelines.
• Fundamental understanding on the data science parameterized and non-parameterized algorithms.
• Knowledge on AI/Client application lifecycles and workflows.
• Experience in the design and development of an Client pipeline using containerized components.
• Have worked on at least one Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s).
• Programming experience in Python, Pyspark, Pytorch, Langchain, Docker, Kubeflow.
• bility to use observability tools (Client, Prometheus, and Grafana ) to look at logs and metrics to diagnose issues within the system.
• Experience with Web development.

Education and Experience:

• 6+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud based distributed computing environments.
• Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research).
• Proven ability to solve enterprise level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption.

 Cynet Systems

 06/28/2024

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