Data Scientist I

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Job description

Overview:

NOTE: Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. 1324b(a)(3 status.

Job Purpose

Responsible for analyzing large data sets for ICE Data and Analytics division to find opportunities for product development and process optimization. Works with loan-level data, to normalize, aggregate, and produce data products. Responsibilities include working with data contributors to enhance their submissions by exposing and alleviating data issues to ensure data quality; expanding field coverage and being the go-to source for data questions that arise. Will also be working with customers to develop data use cases, research and new products from the loan-level data that will support our clients in making important business decisions based on this analysis and findings.

Responsibilities

Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

Works closely with Research and Development on the application and product development of financial tools. Provides consulting and analysis to clients using these tools.

Demonstrates analysis and findings to customers and clients to develop use cases.

Assesses the effectiveness and accuracy of new data sources and data gathering techniques

Develops custom data models and algorithms to apply to data sets

Coordinates with different functional teams to implement models and monitor outcomes

Develops processes and tools to monitor and analyze model performance and data accuracy

Performs other related duties as assigned

Knowledge and Experience

Bachelor's degree in Statistics, Mathematics, Computer Science, or another quantitative field or the equivalent combination of education, training, or work experience

Requires up to 3+ years of data science or related experience in developing mathematical formulas, financial models, and computer programs experience

Experience using statistical computer languages (Python, SQL, R, etc.) to manipulate data and draw insights from large data sets

Preferred

Master's degree or PHD in Statistics, Mathematics, Computer Science, or another quantitative field

Understanding of financial data (loan, mortgage, credit card data, etc.)

Experience working with and creating data architectures

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications

Effective written and verbal communication skills for coordinating across teams

Experience manipulating data sets and building statistical models

Experience creating and using advanced Artificial Intelligence (AI) and/or Machine Learning (ML) algorithms and statistics

Experience with distributed data/computing tools: Spark, PySpark, AWS, etc.

Experience visualizing/presenting data for stakeholders using Tableau, Power BI or similar tools

Advanced skills in Excel and other MS Office applications

Schedule

This role offers work from home flexibility of one day per week.

Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.

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