Data Science Leader

7 days ago


Charlotte, North Carolina, United States S&P Global Full time

Company Overview

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S&P Global is a world-leading provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.

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About the Role

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We are seeking an experienced Data Science Leader to join our team within the Data Science COE at S&P Global. The successful candidate will lead engineering activities for building production-grade generative AI solutions and play a pivotal role in implementing machine learning engineering operations.

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Key Responsibilities

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  • Lead ML Engineering to architect, build, and deploy production-grade GenAI services and solutions.">
  • Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services, and more.">
  • Lead MLOps/LMOps platform development & automated pipelines focusing on deploying, monitoring, and maintaining models in production environments; with model governance, cost, and performance optimization.">
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.">
  • Create and manage documentation and knowledge base, including development best practices, MLOps/LLMOps processes, and procedures.">
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Requirements

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The ideal candidate should have 8+ years of progressive experience in machine learning, data analytics, or similar roles, with relevant experience in writing production-level scalable code with Python (or Scala), MLOps/LLMOps, machine learning engineering, Big Data, or related roles.

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Benefits

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S&P Global offers a comprehensive benefits package, including competitive pay, health and wellness programs, flexible downtime, continuous learning opportunities, and family-friendly perks.

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Estimated Salary Range: $150,000 - $250,000 per year, depending on location and experience.


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