Senior Data Scientist

American Express • Full-time • New York, United States, US • 6d ago

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.

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