Director - Data Science

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.  You will be leading an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field. This role within American Express Technology (AET), will report into the Vice President, Enterprise Services Decision Science Center of Excellence (CoE). • Drive AI and decision science vision, strategy, and execution across the organization • Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions • Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions. • Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale • Drive both high-level and detailed technical designs and conduct design reviews as needed • Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration • Provide technical mentorship to team members at all levels • Actively participate in business and technical discussions and forums across Amex • Master’s Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred. • Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.  • 8+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems • 8+ years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally. • Expert in at least one of the following fields: o  Generative AI o   Machine Learning o   Deep Learning o   Reinforcement Learning o   Natural Language Processing o   Optimization o   Probabilistic Inference o   Information Retrieval o   Recommendation Systems o   Bayesian Inference o   Advanced time series forecasting • Hands-on Experience with most of the following open-source solutions: o   Orchestrate: Airflow, Kubeflow Pipelines, ML Run o   Container: Docker, Kubernetes, Mesos + Marathon o   Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow o   Observability: Prometheus, Grafana, Elasticsearch o   Development: - Programming Language: Python, Java, Scala, Julia - IDE: Notebooks, PyCharm, VS Studio - Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet - Feature Store: Hopsworks, Feast, or other purposed built Feature Store - Model Format: ONNX, PMML • Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization • Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment  • Hands-on Experience with GCP and/or AWS is a plus.