Data Scientist [Multiple Positions Available]

JPMorgan Chase & Co.•Jacksonville, FL

16h•Onsite

About The Position

This role involves building, implementing, testing, and analyzing ML/AI products and solutions. The Data Scientist will conduct A/B testing, automate complex A/B reports, and demonstrate analytical thinking to convert data into actionable insights. They will leverage a variety of statistical and mathematical techniques and algorithms such as AI/ML, Optimization, time series analysis, or dimensionality reduction to analyze datasets and solve business problems. The position also includes designing controlled experiments to test and validate hypotheses, translating business needs into data models supporting long-term solutions, and developing presentations to communicate key messages to senior management, sponsors, and colleagues.

Requirements

Master's degree in Business Administration, Applied Mathematics, Statistics, Engineering, Computer Science or related field of study plus Two (2) years of experience in the job offered or as Data Scientist, Quant Analytics Associate, or related occupation.
Alternatively, a Bachelor's degree in Business Administration, Applied Mathematics, Statistics, Engineering, Computer Science or related field of study plus five (5) years of experience in the job offered or as Data Scientist, Quant Analytics Associate, or related occupation.
Applying statistical analysis and predictive modeling techniques to drive strategic decision-making and business outcomes.
Creating data visualizations and dashboards to uncover actionable insights that guide business strategy and operations.
Writing SQL queries including Common Table Expressions, window functions, dynamic SQL, and joins across database platforms including MySQL and PostgreSQL.
Manipulating and analyzing datasets using pandas.
Creating data visualizations with Matplotlib and Seaborn.
Developing interactive analytical tools with Jupyter Notebooks.
Designing and implementing automated data collection systems to support A/B testing initiatives.
Generating performance reports using Python libraries including SciPy, Statsmodels, and NumPy.
Applying optimization techniques and algorithms to resolve operational challenges and improve business processes.
Implementing traditional machine learning algorithms and methodologies for predictive analytics and data-driven insights.

Responsibilities

Build, implement, test, and analyze ML/AI products & solutions.
Conduct A/B testing and automate complex A/B reports.
Demonstrate analytical thinking and convert data into actionable insights.
Leverage statistical and mathematical techniques (AI/ML, Optimization, time series analysis, dimensionality reduction) to analyze datasets and solve business problems.
Design controlled experiments to test and validate hypotheses.
Translate business needs into data models supporting long-term solutions.
Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.