Chase · 15 hours ago
Lead Data Scientist
1750 Tysons Blvd, McLean, VA, 22102, US
Full-time
Onsite
Senior Level, Lead/Staff
5+ years expJPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Lead Data Scientist within the Cybersecurity and Technology Controls line of business, you will deliver Machine Learning solutions to address security needs and develop statistical and Deep Learning models for business applications.
BankingFinancial Services
Responsibilities
Works with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability
Work with cybersecurity engineers and data engineers to acquire data that addresses each use case (fraud, anomaly detection, Cyber threats)
Perform Exploratory Data Analysis on datasets and communicate results to stakeholders
Select statistical or Deep Learning models that are best positioned to achieve business results
Perform feature engineering or hyperparameter tuning to optimize model performance
Perform model governance activities for model interpretability, testability and results
Executes creative security solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems
Develops secure and high-quality production code and reviews and debugs code written by others
Minimizes security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls
Qualification
Required
Formal training or certification on security engineering concepts and 5+ years applied experience
Advanced in one or more programming languages
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Working knowledge of probability, statistics and statistical distributions and their applicability to use cases and the ability to perform Exploratory Data Analysis using Jupyter or SageMaker Notebooks
Proficient in Pandas, SQL and Data Visualization tools such as Matplotlib, Seaborn or Plotly
Working knowledge of Scikit-Learn for development of classification, regression and clustering models and Deep Learning frameworks such as PyTorch
Experience with feature engineering complex datasets
Possess the ability to explain model selection, model interpretability and performance metrics verbally and in writing
Preferred
Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics or Computer Science and 7+ years data-science experience (Exploratory Data Analysis, statistical analysis and reporting results)
Experience with Knowledge Graphs, graph analytics and graph databases a plus
Working knowledge of Large Language Models (LLM), NLP, Embedding Models and Vector Databases
Experience with Retrieval Augmented Generation (RAG) applications and the frameworks used to create them such as Langchain or Llamaindex
Experience with AI Agent frameworks such as Google ADK and Langraph
Experience deploying Statistical or Machine Learning models via AWS SageMaker in a production setting
Working knowledge of Responsible AI, model fairness, and reliability and safety
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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