As a Data Scientist Associate, you will design, develop, and troubleshoot data solutions, collaborate across teams, and experiment with machine learning models.
Job Description
You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Scientist Associate at JPMorgan Chase within the Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
Required qualifications, capabilities, and skills
You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Scientist Associate at JPMorgan Chase within the Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Collaborates with all of JPMorgan's lines of business and functions to delivery software solutions.
- Experiments, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
- Designs and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Data Science concepts and 2+ years applied experience
- Solid programming skills with Python/Java or other equivalent languages.
- Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Knowledge of machine learning frameworks: Tensorflow/Pytorch
- Knowledge of prompt engineering. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic.
- Cloud Technologies: AWS/GCP/Azure, Kubernetes
Top Skills
AWS
Azure
GCP
Java
Kubernetes
Python
PyTorch
TensorFlow
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