Data Scientist [Multiple Positions Available]
J.P. Morgan
Data Science
Plano, TX, USA
USD 150,700-150,700 / year + Equity
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.
QUALIFICATIONS:
Minimum education and experience required: 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.
Skills Required: 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.
Job Location: 8181 Communications Pkwy, Plano, TX 75024.
Full-Time. Salary: $150,700 per year.
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 at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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.
Drive the design, build, and implementation of end-to-end data products that systemically publish actionable insights to commercial bankers and their clients.