Data Scientist [Multiple Positions Available]

JPMorgan Chase & Co. • Plano, TX

1d • Onsite

About The Position

Chase is hiring multiple Data Scientists in Plano, Texas. The role involves providing technical leadership and oversight through design reviews, coding and modeling standards, and rigorous validation and compliance. It includes designing and implementing scalable analytical methods and tools using diverse datasets, applying advanced modeling techniques, and ensuring data integrity, accuracy, and efficient processing.

The position may focus on technical infrastructure such as data pipelines, cloud architecture, or ML Ops; proprietary data or IoT/sensor pipelines; backend engineering, APIs, and model deployment; or real-time streaming analytics, NLP, computer vision, and root-cause analysis. Work may include targeted hands-on analytics and prototyping, transaction-description analysis, customer cash-flow monitoring, and evaluation of customer financial behavior across deposit accounts, credit cards, and lending products. The role also includes team leadership and ownership of analytics and data science initiatives, from planning and prioritization through delivery and risk management.

The position requires a master's degree in Analytics, Data Science, Data Analytics, or a related field, along with five years of relevant experience. The job is located at 8181 Communications Pkwy, Plano, TX 75024.

Requirements

• Master's degree in Analytics, Data Science, Data Analytics, or a related field of study.
• Five years of experience in the job offered or as a Data Scientist, Business Analyst, or in a related occupation.
• Five years of experience with financial analysis, including Return on Investment or Net Present Value analysis for financial products.
• Five years of experience with SQL for data manipulation, structuring, design flow, and query optimization.
• Five years of experience with Tableau for visualizations and business intelligence.
• Five years of experience with Python v3.8 for task automation, data design flow, statistical analysis, advanced data manipulation, and visualization.
• Five years of experience analyzing big data and account transaction text descriptions.
• Five years of experience handling data and optimizing queries with Snowflake.
• Five years of experience using multivariate regression, logistic regression, decision trees, and cohort analysis for predictive modeling and anomaly detection.
• Three years of experience using Alteryx to build scalable data preparation and analytics workflows.
• Three years of experience coaching, mentoring, and reviewing analysts and data scientists, including guidance on methodologies and data sources and validation of code and outputs.
• Three years of experience integrating geospatial analytics into financial datasets to derive location-based insights.
• Three years of experience designing random and stratified sampling frameworks for unbiased analysis and balanced comparison groups.
• Three years of experience leading analytical projects, including problem framing, execution planning, and stakeholder management.
• Three years of experience applying machine learning and AI techniques to large datasets to generate predictive and actionable insights.

Responsibilities

• Provide technical leadership and oversight through design reviews, coding and modeling standards, and analytical rigor, validation, and compliance.
• Design and implement scalable analytical methods and tools using diverse datasets and advanced modeling techniques while maintaining data integrity, accuracy, and efficient processing.
• Build or maintain technical infrastructure such as data pipelines, cloud architecture, or ML Ops to embed data-driven insights in enterprise initiatives.
• Work with internal proprietary data pipelines or IoT/sensor data and enhance financial insights in alignment with regulatory and compliance standards.
• Perform backend data engineering, API development, or model deployment to support high-impact business decisions.
• Perform hands-on analytics and prototyping for high-priority initiatives and complex problem-solving scenarios.
• Analyze and categorize transaction descriptions, and monitor customer cash flows, including inflows and outflows.
• Apply real-time streaming analytics, NLP, computer vision, and root-cause analysis to identify client risks and opportunities within portfolios.
• Lead and manage a data science team, including hiring, onboarding, coaching, performance management, and career development of direct reports.
• Lead projects evaluating customer financial behavior across deposit accounts, credit cards, and lending products, and analyze operational, engineering, or scientific research metrics to generate customer profiles and inform strategic decisions.
• Own end-to-end delivery of analytics and data science initiatives, including planning, prioritization, roadmap definition, and risk management across projects.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior