Data Scientist Senior Staff

Communitybankws

Hybrid (minimum half time in office)
Generative ai and multi-agent system design
Retrieval-augmented generation (rag) pipelines
Vector database design (faiss, pinecone)
The job posting is for a Senior Staff Data Scientist at Communitybankws, focused on utilizing advanced Data Science and Generative AI technologies to enhance business banking operations in Australia. The ideal candidate should possess strong technical skills in AI and machine learning, along with leadership qualities and a collaborative mindset

Job Summary

  • This role involves building state-of-the-art Data Science models and Generative AI solutions to power seamless experiences for millions of customers within the Business Bank.
  • The team focuses on delivering critical productivity yields for bankers and exceptional value management through a customer-obsessed application of AI.
  • Candidates are expected to provide technical leadership on emerging GenAI technologies while fostering a positive, inclusive culture that promotes growth.

Matching Summary

Match Score: 85

The job posting is for a Senior Staff Data Scientist at Communitybankws, focused on utilizing advanced Data Science and Generative AI technologies to enhance business banking operations in Australia. The ideal candidate should possess strong technical skills in AI and machine learning, along with leadership qualities and a collaborative mindset.

Skills & Requirements

Must-have

  • Generative AI and Multi-Agent System Design
  • Retrieval-Augmented Generation (RAG) Pipelines
  • Vector Database Design (FAISS, Pinecone)
  • MLOps and DevSecOps Implementation
  • Cloud-Native GenAI Services (AWS/Azure)
  • Statistical Control and Performance Estimation

Nice-to-have

  • Thought Leadership in Emerging GenAI Technologies
  • Coaching and Mentoring Junior Team Members
  • Published Research or Open-Source Contributions
  • Strong Growth Mindset and Curiosity
  • Experience with AI Productivity Tools like Copilot

Key Requirements

  • Proven delivery of RAG pipelines
  • Expertise in architecting multi-agent ecosystems
  • Strong MLOps and container orchestration skills
  • Domain depth in banking use-cases
  • Track record of leading cross-functional squads

Work Rights

Not specified

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