Job Description

Salary: $61,000 - 101,000 per year Requirements:

• We require three years of data science experience; experience in financial services or commercial banking is preferred.
• We need proficiency in Python, R, and SQL.
• We look for experience applying statistical methods to business challenges, such as experimentation, inference, forecasting, or classification.
• We expect experience building machine learning models and turning model outputs into practical recommendations.
• We require experience designing repeatable and scalable data solutions.
• We value experience with analytics tools such as Alteryx or Trifacta.
• We look for experience working in distributed data environments such as Hadoop.
• We require experience with data visualization tools such as Qlik Sense, Tableau, or D3.
• We look for experience with cloud-based analytics platforms, including Databricks.
• We require strong written and verbal communication skills, including presenting insights to senior stakeholders.
• Preferred: deep knowledge of large language model techniques, including agents, planning, and reasoning.
• Preferred: experience building and deploying machine learning models on AWS using tools such as SageMaker and Amazon Elastic Kubernetes Service (EKS).
• Preferred: advanced knowledge of reinforcement learning or meta learning.

• We lead analytics and insight-generation initiatives using hands-on data science methods.
• We develop experimental frameworks to support data collection and measurement.
• We define analytical approaches using business knowledge, statistical methods, and machine learning techniques.
• We build models and data applications that generate actionable insights.
• We create clear visualizations and messaging that simplify complex findings.
• We collaborate with business and functional stakeholders on analytics initiatives.
• We translate business needs into well-scoped data solutions and analytical deliverables.
• We present insights and recommend next steps to senior stakeholders.

• AWS
• Alteryx
• Cloud
• D3
• Databricks
• Hadoop
• Support
• Kubernetes
• Machine Learning
• Python
• Qlik
• SQL
• Tableau

More:

We are working with hackajob to connect exceptional professionals with J.P. Morgan for this Data Scientist role on our Global Services Insights & Analytics team. You will help turn data into decisions that improve how we operate, partnering with senior leaders to solve meaningful business problems and deliver measurable outcomes. This role focuses on building scalable analytics solutions, strengthening controls, and improving service and efficiency across Commercial Banking. J.P. Morgan Chase & Co. is one of the oldest financial institutions, with a history spanning more than 200 years, and we provide innovative financial solutions across investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. We offer a competitive total rewards package, including base salary based on the role, experience, skill set, and location, and eligible roles may receive commission-based pay and/or discretionary incentive compensation. Our benefits can include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more, depending on eligibility. We value diversity and inclusion, are an equal opportunity employer, and provide reasonable accommodations for religious practices and beliefs as well as mental health or physical disability needs. We are part of J.P. Morgans Commercial & Investment Bank, a global leader across banking, markets, securities services, and payments, serving corporations, governments, and institutions in more than 100 countries.

last updated 40 week of 2026

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