Data Scientist [Multiple Positions Available] [MR-DS-KL-045331.100501]

Salary Confidential

Position range in Collin County $73k - $135k Per Year

Data Scientist [Multiple Positions Available] [MR-DS-KL-...01]

J P Morgan Chase & Co.

Occupation: Data Scientists

Location: Plano, TX - 75024

Job Type: Regular, Full Time (30 Hours or More), Permanent Employment, Day Shift

Posted: 05/05/2026

Positions available: 99

Source: WorkInTexas

Web Site: WorkInTexas

Onsite / Remote: Work onsite all of the time

Updated: 05/08/2026

Expires: 06/07/2026

Agency Job ID: [MR-DS-KL-...01]

Job #: 17010599

Job Requirements and Properties

Help for Job Requirements and Properties.

Work Onsite

Full Time

Education

Master's Degree

Experience

24 Month(s)

Schedule

Full Time

Job Type

Regular

Duration

Permanent Employment

Hours

40 Hours Per Week

Shift

Day Shift

Public Transit

Available

Benefits

Help for .

JPMorgan Chase & Co. has an opening for a Data Scientist [Multiple Positions Available] in Plano, Texas.

JOB TITLE: Data Scientist [Multiple Positions Available]

LOCATION: 8181 Communications Pkwy, Plano, TX 75024.

DUTIES: Drive the design, build, and implementation of end-to-end data products that systemically publish actionable insights to commercial bankers and their clients. Create product recommendation models for core banking products utilizing internal and external data to inform modeling approaches, produce prototypes, and implement into production. Perform analytics exploring the relationship of companies, products, and banker engagement to inform the product roadmap and top-down decision-making. Drive collaboration across information architecture, data engineering, applied science, business intelligence, product management, data architecture, software engineering, and business analytics to bring products to market and architect data-driven solutions. Guide discovery of new data science solutions, collaborating directly with business and tech leaders across banking, product management, engineering, and applied science. Drive data migrations from legacy banking platforms to new platforms to improve system performance and reliability. Adopt new technologies and establish best practices to keep analytical solutions current, detect, diagnose, correct, and simplify problems. Explain data problems and solutions to business leaders across multiple levels of the banking organization.

REQUIREMENTS: Master's degree in Business Analytics, Data Science, Statistics, or related field of study plus two (2) years of experience in the job offered or as Data Scientist, Business Analyst, Data Consultant, or related occupation. This position requires two (2) years of experience in the following: Creating and maintaining models consisting of banking, financial, and external data sources; Building insights ecosystems to standardize disparate analytics into a single business-facing feed of insights; Designing and implementing scalable AI/ML models in large-scale enterprise environments using Databricks and MLflow; Developing end-to-end pipelines, managing model versioning, and enabling automated deployment and monitoring for production readiness; Defining business requirements and translating them into technical solutions; Optimizing model training and inference workflows for efficiency and scalability; Applying multivariate statistical methods including principal component analysis (PCA), linear discriminant analysis (LDA), and cluster analysis to uncover data patterns, reduce dimensionality, and inform feature engineering; Performing data preprocessing, outlier detection, and variable selection; Conducting exploratory data analysis to identify relationships and trends in high- dimensional datasets; Implementing feature selection and transformation techniques to improve model performance; Developing quantitative models to extract insights from enterprise datasets, including time series analysis, predictive modeling, and risk assessment; Validating model assumptions and assessing statistical significance of results; Communicating findings and recommendations to stakeholders through visualizations and reports; Building supervised machine learning models using techniques including regression, classification, and experimental design with model validation, hyperparameter tuning, and performance assessment using accuracy, precision, recall, and ROC-AUC metrics; Designing and executing controlled experiments using A/B testing to evaluate model impact; Implementing cross-validation and regularization methods to prevent overfitting and improve generalizability; Developing AI and ML models in a large-scale enterprise using clustering, decision trees, random forest, support vector machines, ensemble methods, boosting, neural networks, TensorFlow, and NLTK; Driving end-to-end project management using reproducible runs to deploy models into production.

Full-time.

To apply for this position, please email your resume to ... with following job ID clearly indicated: [MR-DS-KL-...01]. JPMorgan Chase & Co. is an Equal Opportunity and Affirmative Action Employer, M/F/D/V.