Data Scientist [Multiple Positions Available]

JPMorganChase•Plano, TX

22h•Onsite

About The Position

The Data Scientist will provide technical leadership and oversight through design reviews, coding and modeling standards, and validation and compliance practices. The role designs and implements scalable analytical methods and tools using data from disparate sources, with emphasis on data integrity, accuracy, and efficient processing at scale. Work may include technical infrastructure such as data pipelines, cloud architecture, and MLOps; internal proprietary or IoT/sensor data; backend data engineering, API development, and model deployment; and advanced analytics such as real-time streaming, natural language processing, computer vision, and root cause analysis. The position performs hands-on analytics and prototyping for high-priority initiatives and complex problems, including transaction-description analysis and monitoring customer cash flows. It also leads projects evaluating customer financial behavior across deposit accounts, credit cards, and lending products, and develops customer profiles and insights to support strategic decisions. The role manages a data science team and owns end-to-end delivery of analytics and data science initiatives, including planning, prioritization, roadmaps, and risk management across a project portfolio. The posting also references analytics in other domains, including cybersecurity, supply chain, healthcare, manufacturing, and telecommunications. The role is based at 8181 Communications Pkwy, Plano, TX 75024. The stated minimum qualification is a master's degree in Analytics, Data Science, Data Analytics, or a related field, plus five years of relevant experience.

Requirements

Master's degree in Analytics, Data Science, Data Analytics, or a related field of study.
At least 5 years of experience in the job offered, as a Data Scientist, Business Analyst, or in a related occupation.
At least 5 years of experience with financial analysis, such as Return on Investment or Net Present Value, to assess the value of a financial product.
At least 5 years of experience with SQL for data manipulation, data structuring, data design flow, and query optimization.
At least 5 years of experience with Tableau for visualizations and business intelligence.
At least 5 years of experience using Python v3.8 for task automation, data design flow, statistical analysis, advanced data manipulation, and visualization.
At least 5 years of experience analyzing big data involving account transaction text descriptions.
At least 5 years of experience with Snowflake for data handling and query optimization.
At least 5 years of experience using multivariate regression, logistic regression, decision trees, and cohort analysis for predictive modeling and anomaly detection.
At least 3 years of experience using Alteryx to build scalable data preparation and analytics workflows.
At least 3 years of experience coaching, mentoring, and reviewing analysts and data scientists, including guidance on methodologies and data sources and validation of code and outputs.
At least 3 years of experience integrating geospatial analytics into financial datasets to derive location-based insights.
At least 3 years of experience designing random and stratified sampling frameworks for unbiased analysis and balanced comparison groups.
At least 3 years of experience leading analytical projects, including problem framing, execution planning, and stakeholder management.
At least 3 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 from disparate sources.
Ensure data integrity, accuracy, and efficient processing at scale.
Build and maintain technical infrastructure such as data pipelines, cloud architecture, and MLOps, and embed data-driven insights into 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, and model deployment for high-impact decisions.
Conduct 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.
Use 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 generate customer profiles and insights for strategic decision-making.
Own end-to-end delivery of analytics and data science initiatives, including planning, prioritization, roadmap definition, and risk management across a portfolio of projects.