JPMorganChase · 20 hours ago
Data Scientist [Multiple Positions Available]
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. They are seeking a Data Scientist to build data solutions, conduct analyses, and drive business decisions through high-impact analytics.
Asset ManagementBankingFinancial Services
Responsibilities
Build data solutions and extract insights from big data environments to design metrics and conduct in-depth analyses that drive business decisions
Partner with leaders across the business of Sales, Marketing, Finance and Account Management to deliver high-impact analytics
Establish strong partnerships with our stakeholders across Chase Payment Solutions
Collaborate with analytics and non-analytics groups to design solutions and provide actionable insights
Drive the execution of analytics and data science initiatives
Analyze data from a variety of data sources and identify key insights
Demonstrate strong analytical ability through understanding and implementation of various analytical and statistical techniques to answer high-priority business questions
Interpret analytical results and present findings to stakeholders
Build data visualization and provide ongoing enhancements to business dashboards
Experiment, develop, and produce high-quality machine learning models that drive business growth
Qualification
Required
Bachelor's degree in Data Science, Business Analytics, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Business Analyst, or related occupation
Creating and maintaining dynamic and interactive dashboards using Tableau and Looker leveraging ETL automation, ODBC connector
Creating advanced visualizations including heat maps, drill-down charts and tools including parameters, and LOD (Level of Detail) expressions
Conducting in-depth exploratory data analysis within large enterprise databases (Terabytes- scale) using SQL via CTE and window functions
Transforming raw data into actionable insights using Python libraries including Pandas and NumPy for data manipulation, scikit-learn for machine learning, matplotlib, and seaborn for data visualization
Presenting data findings, model results, and performance metrics to cross-functional teams and translating complex analyses into strategic recommendations for business growth
Designing and building robust, scalable data processing and model training pipelines by leveraging Random Forest and K-Nearest Neighbors (KNN) machine learning algorithms
Developing, optimizing, and producing predictive modeling pipelines by Tree-based Pipeline Optimization Tool (TPOT) python libraries that automate hyperparameter tuning and model selection to enhance prediction performance and model efficiency
Automating and streamlining ETL workflows in order to produce recurring reports and data updates leveraging Excel and Alteryx workflows
Leverage advanced Excel functionalities including vlookup, index match, and pivot tables
PySpark and Snowpark data science libraries in Python
Data engineering pipelines for big data
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
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Recent News
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2026-01-08
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