
Machine Learning Scientist - Natural Language Processing (NLP)
Are you a highly skilled Machine Learning Scientist with a passion for Natural Language Processing (NLP)? Do you thrive in a fast-paced and dynamic environment, using cutting-edge technologies to solve complex problems? Then join our team at J.P. Morgan Chase & Co. as a Machine Learning Scientist - NLP. As a member of our team, you will have the opportunity to work on innovative projects and collaborate with talented individuals from various backgrounds. We are seeking a driven individual with a strong background in NLP, machine learning, and data science. If you have a strong analytical mindset, excellent communication skills, and a desire to make a significant impact, we want to hear from you. Join us in shaping the future of finance and revolutionizing the way we interact with data.
- Develop and implement state-of-the-art NLP algorithms and models to solve complex problems in the finance industry.
- Collaborate with cross-functional teams to identify business needs and translate them into NLP solutions.
- Utilize cutting-edge technologies to build and deploy scalable NLP systems.
- Conduct research and stay up-to-date with the latest advancements in NLP, machine learning, and data science.
- Analyze large and complex datasets to extract meaningful insights and drive decision-making.
- Communicate results and findings to both technical and non-technical stakeholders.
- Identify and address potential issues or limitations in existing NLP processes and systems.
- Mentor and guide junior team members in NLP techniques and best practices.
- Continuously evaluate and improve NLP models and processes to optimize performance.
- Collaborate with external partners and vendors to leverage their expertise and incorporate new technologies.
- Stay compliant with regulatory requirements and adhere to data privacy and security protocols.
- Proactively identify opportunities for innovation and improvement within the NLP field.
- Keep detailed documentation of experiments, findings, and processes for future reference.
- Contribute to a positive and collaborative team culture by sharing knowledge and providing support to colleagues.
Advanced Degree In Computer Science, Data Science, Or A Related Field With A Focus On Natural Language Processing
Extensive Experience In Developing And Implementing Machine Learning Algorithms And Models For Nlp Applications
Strong Programming Skills In Languages Such As Python, R, And Java, As Well As Experience With Relevant Libraries And Frameworks (E.g. Tensorflow, Pytorch, Nltk)
Deep Understanding Of Linguistics And Natural Language Processing Techniques, Including But Not Limited To Sentiment Analysis, Topic Modeling, And Named Entity Recognition
Prior Experience In The Financial Industry And Knowledge Of Financial Data And Terminology Is Preferred, As Well As Experience Working With Large-Scale Datasets And Cloud Computing Platforms.
statistical analysis
Deep Learning
Data Visualization
Machine learning algorithms
Sentiment analysis
Topic modeling
Text Classification
Named Entity Recognition
Information Extraction
Text Summarization
Nlp Modeling
Communication
Conflict Resolution
Leadership
Negotiation
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Machine Learning Scientist - Natural Language Processing (NLP) in Wilmington, DE, USA is $80,000 to $150,000 per year. The exact salary can vary depending on factors such as years of experience, specific job duties, and company size. Some highly experienced NLP scientists in Wilmington may earn upwards of $200,000 per year.
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JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase is ranked by S&P Global as the largest bank in the United States and the sixth largest bank in the world by total assets, with total assets of US$2.687 trillion.

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