JPMorgan Chase Bank, N.A.
Data Scientist, Vice President
JPMorgan Chase Bank, N.A., Jersey City, New Jersey, United States, 07390
Join our dynamic team of innovators and technologists as a
Senior Data Scientist , where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI / ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment — one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele. Job Responsibilities :
Collaborate across Bankers, Client Services, Operations, Product and Technology teams to understand existing processes and bottlenecks, recommending transformative processes to achieve measurable productivity and efficiency gains. Design and execute A / B tests and experimental designs to validate hypotheses and quantify business outcomes with statistical confidence. Build interpretable predictive models using techniques such as linear / logistic regression, decision trees, random forests, and gradient boosting methods, focusing on interpretability and statistical validity. Conduct exploratory data analysis and feature engineering to uncover hidden patterns and generate actionable insights from structured and unstructured data sources. Design and implement complex algorithms and data-driven models to extract insights and drive decision-making. Required Qualifications, Capabilities, and Skills :
PhD in Computer Science, Data Science, Statistics or a related field with a strong focus on data analysis, statistical modeling, and advanced AI / ML techniques. Extensive experience in Natural Language Processing including Large Language Models. Proven track record in building and evaluating advanced Machine Learning models. Expertise in statistical analysis, including hypothesis testing, regression analysis, time-series forecasting, and Bayesian modeling. Ability to apply past experience to influence business decision-making by providing solution options. Leverage the innovation and thought leadership of our global team of technologists. Experience working with large volumes of data across SQL and NoSQL platforms. Preferred Qualifications, Capabilities, and Skills :
At least 7 years of relevant work experience. Advanced proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. Strong skills in data visualization and communicating complex statistical concepts to non-technical stakeholders. Effective collaboration skills across teams and individuals. In-depth knowledge of project lifecycle and software development practices. Flexibility to work under tight deadlines with minimal supervision. Exceptional analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to thrive in ambiguous situations and adapt to changing priorities. JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and prominent clients worldwide. Our history spans over 200 years, and we are a leader in multiple financial sectors. We offer a competitive total rewards package, including base salary, potential commissions, discretionary incentives, comprehensive benefits, and more. We value diversity and are an equal opportunity employer. We do not discriminate based on protected attributes and provide accommodations for religious practices and disabilities. Base Pay / Salary: Jersey City, NJ $164,350.00 - $260,000.00 / year
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Senior Data Scientist , where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI / ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment — one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele. Job Responsibilities :
Collaborate across Bankers, Client Services, Operations, Product and Technology teams to understand existing processes and bottlenecks, recommending transformative processes to achieve measurable productivity and efficiency gains. Design and execute A / B tests and experimental designs to validate hypotheses and quantify business outcomes with statistical confidence. Build interpretable predictive models using techniques such as linear / logistic regression, decision trees, random forests, and gradient boosting methods, focusing on interpretability and statistical validity. Conduct exploratory data analysis and feature engineering to uncover hidden patterns and generate actionable insights from structured and unstructured data sources. Design and implement complex algorithms and data-driven models to extract insights and drive decision-making. Required Qualifications, Capabilities, and Skills :
PhD in Computer Science, Data Science, Statistics or a related field with a strong focus on data analysis, statistical modeling, and advanced AI / ML techniques. Extensive experience in Natural Language Processing including Large Language Models. Proven track record in building and evaluating advanced Machine Learning models. Expertise in statistical analysis, including hypothesis testing, regression analysis, time-series forecasting, and Bayesian modeling. Ability to apply past experience to influence business decision-making by providing solution options. Leverage the innovation and thought leadership of our global team of technologists. Experience working with large volumes of data across SQL and NoSQL platforms. Preferred Qualifications, Capabilities, and Skills :
At least 7 years of relevant work experience. Advanced proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. Strong skills in data visualization and communicating complex statistical concepts to non-technical stakeholders. Effective collaboration skills across teams and individuals. In-depth knowledge of project lifecycle and software development practices. Flexibility to work under tight deadlines with minimal supervision. Exceptional analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to thrive in ambiguous situations and adapt to changing priorities. JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and prominent clients worldwide. Our history spans over 200 years, and we are a leader in multiple financial sectors. We offer a competitive total rewards package, including base salary, potential commissions, discretionary incentives, comprehensive benefits, and more. We value diversity and are an equal opportunity employer. We do not discriminate based on protected attributes and provide accommodations for religious practices and disabilities. Base Pay / Salary: Jersey City, NJ $164,350.00 - $260,000.00 / year
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