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Data Analytics Solutions – Emerging Technologies team is looking for a Senior Data Scientist that crafts data solutions across a set of emerging technologies for Technology Risk and Information Security customers. If you are an innovative data professional who is looking to build products and services that target the Cyber Threat landscape using sophisticated data processing and analytics tools and techniques, then we have an opportunity for you!
Responsibilities:
Design and develop innovative data products and applications using emerging technologies covering dashboards/user interface, APIs, data pipelines, data alerts, predictive analytics, machine learning algorithms and generative AI.
Ensure compliance with model governance standards through the development, validation and monitoring of data-driven models.
Establish robust evaluation metrics to assess the effectiveness and efficiency of machine learning and generative models, iteratively improving their performance.
Build platform capabilities for data processing, model versioning, training, tuning, serving, experimentation using Cloud Native Architecture.
Continuously improving the products through refactoring and optimization of our platform using cloud-native designs.
Multi-functional collaboration with peer technology and security customers to deliver high-impacting data products and solutions.
Stay informed about the latest advancements in generative AI and machine learning, and actively experiment with novel approaches to stay ahead of the curve.
Leading a culture of innovation using rapid prototype and experiment to deliver faster, optimal and safer AI products.
Requirements and Skills:
Over 6+ years of IT experience with focus on the following technologies/disciplines:
Bachelor’s degree in computer science, Statistics, Data Science, Engineering, Mathematics, or related fields; master’s degree is preferred.
Proven ability to apply emerging technologies to business problems and to apply external thinking.
Operational experience with machine learning algorithms and concepts such as feature engineering, regression analysis, clustering, decision trees, neural networks, recommendation engines, natural language processing, probabilistic models like Bayesian networks, Markov chain etc. required.
Experience in operationalizing Generative-AI and Large Language Models (LLMs) based solutions.
Proven experience in ensuring adherence to model governance frameworks through the design, validation and oversight of data-driven models.
Experience in designing and implementing large scale platforms and frameworks to serve machine learning capabilities.
Experience in the Cybersecurity or IT risk domain is helpful but not required.
Hands-on Experience with most of the following tools/frameworks/technologies:
Orchestrate: Argo Workflow, Kubeflow Pipelines, ML Run, Triton Inference Server
Container: Docker, Kubernetes
Observability: Elasticsearch, Kibana, Prometheus
Data Engineering tools and technologies: Hadoop, Hive, SQL, NoSQL, Spark, Dask, Apache NiFi, Apache Kafka
CICD: Jenkins, XL Release
Development languages/tools/libraries: Python, TensorFlow, PyTorch, Shell Scripting, Jupyter Notebooks, PyCharm, VS Studio, (pgVector, Milvus etc.)
Hands-on experience on Web Application and RESTful API development
Experience with any cloud-based provider like AWS, Azure, or Google cloud is a plus
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunitiesAmerican Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
