DescriptionYou 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 youare 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 JPMorgans 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 onData Scienceconcepts 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
Required Experience:
Senior IC
DescriptionYou 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 Managemen...
DescriptionYou 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 youare 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 JPMorgans 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 onData Scienceconcepts 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
Required Experience:
Senior IC
View more
View less