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Statistical Data Jobs in Delaware (NOW HIRING)

Test new statistical tools and packages. The ideal candidate will have the following: * Master's Degree in Data Science, Statistics, Applied Mathematics, or related field required. * Expert knowledge ...

Apply Statistical Quality Control (SQC) principles, including control charting and trend analysis, to monitor analytical and manufacturing performance * Perform detailed data analysis to identify ...

Data Scientist

Greenwood, DE ยท On-site

$100K - $118K/yr

Experience in data mining; working with and creating data architectures; using statistical computer languages to manipulate data and draw insights from large data sets. Must have direct experience ...

Data Scientist

Greenwood, DE ยท On-site

$100K - $118K/yr

Experience in data mining; working with and creating data architectures; using statistical computer languages to manipulate data and draw insights from large data sets. Must have direct experience ...

Management Analyst II

Newark, DE ยท On-site

$58K - $70K/yr

Reviews, performs statistical analysis and interpretation of collected data relating to policies, procedures, organization, managerial and operational practices; Defines and may make recommendations ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Strong foundation in statistics and machine learning concepts (regression, classification ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Strong foundation in statistics and machine learning concepts (regression, classification ...

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Statistical Data information

What are the key skills and qualifications needed to thrive as a Statistical Data Analyst, and why are they important?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What are statistical data analysts?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.
What are popular job titles related to Statistical Data jobs in Delaware? For Statistical Data jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Statistical Data jobs in Delaware look for? The top searched job categories for Statistical Data jobs in Delaware are:
What cities in Delaware are hiring for Statistical Data jobs? Cities in Delaware with the most Statistical Data job openings:
Data Scientist

Data Scientist

Continental Finance Company

Wilmington, DE โ€ข On-site

Full-time

Posted 12 days 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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