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At Home Data Scientist Risk Jobs in Delaware (NOW HIRING)

The Data Scientist is responsible for the development of models, strategies, and operational ... Collaboration with Risk Management to resolve outstanding issues and support documentation quickly ...

This is a unique opportunity to have meaningful impact on a large scale at a leading financial ... Along with leveraging your proficiency with modern data science and analytics tools (including the ...

This is a unique opportunity to have meaningful impact on a large scale at a leading financial ... Along with leveraging your proficiency with modern data science and analytics tools (including the ...

Data Scientist Lead

Wilmington, DE · On-site

$142.50K - $210K/yr

This is a unique opportunity to have meaningful impact on a large scale at a leading financial ... Along with leveraging your proficiency with modern data science and analytics tools (including the ...

Outstanding communication skills with the comfort to interact with all levels with clarity and at ... Risk management mindset * Can foresee risks and potential points of failure in a data science ...

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At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are popular job titles related to At Home Data Scientist Risk jobs in Delaware? For At Home Data Scientist Risk jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for At Home Data Scientist Risk jobs? Cities in Delaware with the most At Home Data Scientist Risk job openings:
Infographic showing various At Home Data Scientist Risk job openings in Delaware as of May 2026, with employment types broken down into 2% As Needed, 4% Full Time, 81% Part Time, 1% Temporary, and 12% Contract. Highlights an 97% Physical, and 3% Remote job distribution.
Data Scientist

Data Scientist

Continental Finance Company

Wilmington, DE • On-site

Full-time

Posted 16 hours ago


Job description

Salary:

Come join a growing financial technology company thats leading the marketplace in both the marketing and servicing of credit cards! Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Scientist to support our Data Science team.


The Data Scientist is responsible for the development of models, strategies, and operational guidelines for the organization's various credit card products as they relate to the analysis, tracking, and reporting of various risk metrics.

Essential Functions:

  • Develop and design best in class models.
  • Develop and design best in class market intelligence applications that support decision making.
  • Collaboration with Risk Management to resolve outstanding issues and support documentation quickly and efficiently as required.
  • Test new statistical tools and packages.

The ideal candidate will have the following:

  • Masters Degree in Data Science, Statistics, Applied Mathematics, or related field required.
  • Expert knowledge of classical statistical techniques such as linear regression and maximum likelihood regression.
  • Expert knowledge of machine learning and AI methods including CART, Random Forests and XGBoost.
  • Experience in creating complex data models using Python is required.
  • Experience in creating complex data visualizations and queries using Tableau and SQL.
  • Experience writing SQL queries for data aggregation and analysis.
  • Excellent communication skills, written and verbal, with the ability to clearly communicate to all levels of management.


Why Continental Finance?

Continental Finance Company (the CFC) is one of Americas leading marketers and servicers of credit cards for consumers with less-than-perfect credit. Since our founding in 2005, we have prided ourselves on corporate responsibility to customers in terms of a strong customer support program and fair treatment. With our success, we have also grown into an innovative financial tech company! With a state-of-the-art consumer marketing and servicing platform, we provide a variety of services to consumers when other financial institutions will not accommodate them. With more than 2.6 million credit cards managed and serviced since our founding, we pride ourselves on putting the customer first.We are not a chartered banking financial institution, nor are we a debt originator or a credit card issuer.

CFC is an equal opportunity employer that is committed to inclusion and diversity. Our company provides equal employment opportunity (EEO) regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.


CFC is seeking bright, energetic individuals that will help us grow and develop together! We uphold a promise to treat our employees with the same care and concern as we do our customers. We offer all employees competitive compensation and benefits in an exciting, fast-paced business casual environment. Join our growing team and apply online today!

CFC offers a hybrid work schedule which includes three (3) core days in the office (Tuesday, Wednesday, and Thursday) and two (2) remote workdays (Monday and Friday)


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