American Express

Senior Data Scientist

American Express New York, United States
American Express

Senior Data Scientist

American Express New York, United States
1 week ago 144 applicants

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Mani V. Click here to view Mani V.’s profile

Mani V.

Global Recruitment at American Express

  • Master’s degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or related STEM fields
  • 3+ years full lifecycle product development and engineering leadership in highly available, highly scalable, and high throughput systems
  • Experience in deploying out-of-the box LLMs and Generative AI solutions including setting up Vector DBs, Graph-RAG and extensive testing of LLMs. Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. Must demonstrate deep knowledge of testing frameworks for Generative AI
  • Demonstrated experience with knowledge graphs
  • Experience in building and owning data science solutions and pipelines within the MLOps ecosystem in Vertex AI
  • Hands-on expertise with handling distributed (multi-tiered) systems and automated testing – unit and performance testing
  • Demonstrated experience in building and deploying a diverse set of Machine Learning (GLM, GBM, Neural Networks), Time series forecasting models and NLP solutions at scale
  • Proficiency and Hands-on Experience with Git, CI/CD tools, Elasticsearch, and a solution in each category: Orchestration, Container, Model Serving, Observability, and Feature Store
  • Strong proficiency in programming with Python, Machine Learning libraries and APIs (TensorFlow, Keras, PyTorch, ScikitLearn, H20.ai, XGBoost)
  • Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts
  • Strong project management skills and effective stakeholder management skills, coupled with a continuous improvement mindset
  • Excellent presentation and communication skills, capable of explaining complex technical choices in simple terms to a diverse audience
  • Experience in Financial Services industry is preferred
  • Thorough understanding of enterprise infrastructure technologies (Compute, Storage, Network, Mainframe) to inform model development is preferred.

  • Seniority level

    Mid-Senior level

  • Employment type

    Full-time

  • Job function

    Product Management

  • Industries

    Financial Services

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Featured Benefits

Inferred from the description for this job

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • Paid maternity leave
  • Paid paternity leave

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