Data Scientist [Multiple Positions Available]

JPMorganChase; Plano (TX); On-site; USD 135,630 - 165,770; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase is seeking a Data Scientist in Plano, TX, to drive the design and implementation of data products for commercial banking. The role involves creating AI/ML models and collaborating across teams to deliver actionable insights.

Qualified candidates will have a Master's degree and two years of relevant experience, along with strong skills in data analytics and model development. A competitive salary of $150,700 per year is offered, along with a comprehensive benefits package.

Qualifications

• Master's degree in a related field plus two years of relevant experience.
• Experience in creating and maintaining models with financial data.
• Proficiency in building scalable AI/ML models.

Responsibilities

• Drive the design and implementation of end-to-end data products.
• Create product recommendation models for banking products.
• Analyze relationships among products and banker engagement.
• Collaborate across teams to architect data-driven solutions.

Skills

Data Science

Business Analytics

AI/ML modeling

Data visualization

Statistical analysis

Model validation

Project management

Education

Master's degree in Business Analytics, Data Science, Statistics, or related field

Tools

Databricks

MLflow

Python

TensorFlow

Job description

Overview

JOB DESCRIPTION

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.

Responsibilities

• Drive the design, build, and implementation of end-to-end data products that publish actionable insights to commercial bankers and their clients.
• Create product recommendation models for core banking products using internal and external data; produce prototypes and implement into production.
• Analyze relationships among companies, products, and banker engagement to inform the product roadmap and executive decision-making.
• Collaborate across teams (information architecture, data engineering, applied science, BI, 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 with business and tech leaders in banking, product management, engineering, and applied science.
• Lead data migrations from legacy banking platforms to new platforms to improve performance and reliability.
• Adopt new technologies and establish best practices to maintain current analytical solutions, diagnose issues, and simplify problems.
• Explain data problems and solutions to business leaders across multiple levels of the banking organization.

Qualifications

Minimum education and experience: Master's degree in Business Analytics, Data Science, Statistics, or related field plus two (2) years of experience in roles such as Data Scientist, Business Analyst, or Data Consultant.

Skills Required: Two (2) years of experience in the following areas: creating and maintaining models using banking, financial, and external data; building insights ecosystems; designing and implementing scalable AI/ML models in large-scale enterprise environments using Databricks and MLflow; developing end-to-end pipelines, model versioning, and automated deployment/monitoring; translating business requirements into technical solutions; optimizing model training and inference workflows; applying multivariate statistical methods (PCA, LDA, clustering); data preprocessing, outlier detection, and feature selection; exploratory data analysis of high-dimensional data; feature transformation techniques; developing quantitative models for time series, predictive modeling, and risk assessment; validating model assumptions; communicating findings via visualizations and reports; building supervised ML models (regression, classification) with model validation, hyperparameter tuning, and performance metrics; conducting A/B testing; cross-validation and regularization; developing AI/ML models at enterprise scale (clustering, decision trees, random forest, SVM, ensemble methods, boosting, neural networks, TensorFlow, NLTK); driving end-to-end project management to deploy models into production.

Job Location: 8181 Communications Pkwy, Plano, TX 75024.

Employment Type: Full-Time. Salary: $150,700 per year.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world\'s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in 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 determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits 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. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of protected attributes and we provide reasonable accommodations for applicants and employees. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

J.P. Morgan\'s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.