Data Scientist jobs in United States
cer-icon
Apply on Employer Site
company-logo

ICE · 1 hour ago

Data Scientist

Intercontinental Exchange is a global network of exchanges and clearing houses, and they are seeking a Data Scientist 1 to join their Loan Data team. The role involves analyzing complex loan data sets, identifying trends, and developing data-driven solutions to inform clients' investment decisions and drive growth in the loan market.

E-CommerceFashionJewelryMarketplace
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms)
Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools
Develop and maintain databases and data systems to support loan data analysis and modeling
Communicate complex loan data insights and model results to non-technical stakeholders
Develop and present reports, dashboards, and visualizations to support business decisions
Collaborate with stakeholders to identify business problems and develop data-driven solutions
Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling
Collaborate with data engineers to implement data solutions and integrate with existing systems
Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields
Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models

Qualification

PythonMachine LearningData VisualizationSQLData AnalysisData EngineeringRPandasNumPyScikit-learnSigmaTableauPower BIAnalytical SkillsCloud ComputingLoan Data AnalysisLending RegulationsProblem-SolvingCommunication SkillsCollaboration Skills

Required

U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. 1324b(a)(3)) status
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
3+ years of relevant work experience
Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn)
Experience with loan data analysis, machine learning, and data visualization
Familiarity with databases and data systems
Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions
Experience with data visualization tools (e.g., Sigma, Tableau, Power BI)
Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders

Preferred

Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field
Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake)
Familiarity with loan markets, loan products, and lending regulations

Company

ICE

twittertwittertwitter
company-logo
We are building the largest jewelry marketplace.

Funding

Current Stage
Late Stage
Total Funding
$49M
Key Investors
Polaris Partners
2017-12-07Acquired
2016-03-15Series Unknown
2015-07-01Seed· $2M

Leadership Team

leader-logo
Joseph Albert
Chief Technology Officer
linkedin
leader-logo
David Farrell
Chief Operating Officer, ICE Futures U.S.
linkedin
Company data provided by crunchbase