Data Scientist Associate Sr.

Role Overview: As a Data Scientist Associate at JPMorgan Chase within the Asset & Wealth Management, you will be an integral part of an agile team focused on enhancing, designing, and delivering data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. Your role within the data engineering team will involve executing data solutions through designing, developing, and technically troubleshooting multiple components within technical products, applications, or systems, while also gaining valuable skills and experience to progress in your career. Key Responsibilities: - Collaborate with all of JPMorgan's lines of business and functions to deliver software solutions. - Experiment, develop, and productionize high-quality machine learning models, services, and platforms to drive significant technology and business impact. - Design and implement highly scalable and reliable data processing pipelines, conduct analysis and insights to optimize business results. - Contribute to a team culture that values diversity, opportunity, inclusion, and respect. Qualification Required: - Formal training or certification in Data Science concepts and a minimum of 2 years of applied experience. - Strong programming skills with Python/Java or other equivalent languages. - Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics. - Expertise in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. - Familiarity with machine learning frameworks such as Tensorflow/Pytorch. - Proficiency in prompt engineering and experience in ETL data pipelines for both batch and real-time data processing, Data warehousing, NoSQL DB, and Elastic. - Knowledge of Cloud Technologies such as AWS/GCP/Azure and Kubernetes.,