Data Scientist at JPMorgan

Short Description:

The Senior Associate Data Scientist role in Chicago seeks expertise in ML models, NLP, and deep learning techniques to tackle real-world challenges. You'll collaborate across teams, design and deploy predictive pipelines, and drive impactful projects aligning models with business objectives. Proficiency in ML toolkits, AWS, and programming is key. JPMorgan Chase offers a diverse, inclusive environment, competitive rewards, and a chance to innovate in Commercial Banking technology solutions.

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Position: Senior Associate Data Scientist 

Location: Chicago, Illinois, USA

Job Information

• Job ID: 210447788
• Job Category: Data & Analytics
• Job Type: Full-time
• Location: 10 S Dearborn St, Chicago, IL, 60603, US

Job Summary

We are seeking a Senior Associate Data Scientist to join our team in Chicago, IL. In this role, you will play a crucial part in addressing business challenges by exploring cutting-edge models and crafting machine learning and deep learning solutions. Leveraging your expertise in machine learning tools and algorithms, you will collaborate with a forward-thinking team to develop innovative systems, working closely with product owners, data engineers, and software engineers. The ideal candidate will have a strong affinity for data, machine learning, and software development, with a focus on understanding data dynamics within large and intricate organizations.

Job Responsibilities

• Create state-of-the-art machine learning models to tackle real-world issues, applying them to areas such as natural language processing (NLP), personalization, and recommendation systems.
• Collaborate with business, operational, and technical teams to comprehend AI requirements and devise potential solutions.
• Establish both batch and real-time model prediction pipelines, integrating them with existing applications and frontend interfaces.
• Collaborate on extensive data modeling experiments and effectively communicate complex concepts to senior stakeholders.
• Partner with various cross-functional teams, including Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management, to implement solutions in production.
• Collaborate with product owners and software engineers to operationalize the models.
• Work closely with business partners to identify high-impact projects, influence decisions using data, and ensure client satisfaction.

Required Qualifications, Capabilities, and Skills

• Strong background in natural language processing (NLP), generative AI, and hands-on experience in machine learning and deep learning techniques, including familiarity with large language models.
• Proficiency in machine learning and deep learning toolkits, such as Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, and Pandas.
• Ability to design experiments and training frameworks, and assess both intrinsic and extrinsic metrics to align model performance with business objectives.
• Experience in building and deploying machine learning models on AWS, particularly utilizing AWS tools like Sagemaker, EC2, Glue, and more.
• Self-driven and capable of completing tasks and projects with minimal supervision.
• Strong attention to detail and commitment to follow-through.
• Excellent communication skills and a team player.

Preferred Qualifications, Capabilities, and Skills

• Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning, with a solid foundation in mathematics and statistics.
• 3-4 years of experience in at least one programming language, such as Python, Java, C/C++, with a preference for Python. Additionally, 2-3 years of experience applying data science and machine learning techniques to solve business problems.
• Familiarity with A/B experimentation and data-driven product development, including the ability to develop and debug production-quality code.
• Published research in Machine Learning, Deep Learning, or Reinforcement Learning in a major conference or journal.
• Knowledge of continuous integration models and expertise in unit test development, as well as experience with large language models and prompt engineering techniques.

About Us

JPMorgan Chase & Co., a venerable financial institution with a history spanning over two centuries, provides innovative financial solutions to millions of customers, ranging from consumers and small businesses to prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. We are dedicated to fostering diversity and inclusion, valuing all talents and perspectives that contribute to our global workforce. Our commitment to equality extends to all protected attributes, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other legally protected basis. We accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs, in accordance with applicable laws.

We offer a competitive total rewards package, which includes a base salary tailored to the role, experience, skill set, and location. Eligible roles may receive discretionary incentive compensation to acknowledge firm performance and individual achievements. Additionally, we provide a range of benefits and programs to meet employee needs based on eligibility. These benefits encompass comprehensive healthcare coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. Further details regarding total compensation and benefits will be provided during the hiring process.

JPMorgan Chase is an equal opportunity employer, including provisions for individuals with disabilities and veterans.

About the Team

Our Commercial Banking division relies on technology-driven by innovative minds like yours to deliver a variety of financial solutions to companies, real estate owners, and investors. These solutions are designed to help them achieve their business goals, catering to clients with annual revenues ranging from $20 million to over $2 billion. The services and solutions we offer are pivotal to our clients' and our own success.

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