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New Grad Data Scientist Jobs in Delaware (NOW HIRING)

Continental Finance

Data Scientist

Wilmington, DE · Hybrid

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 ...

JP Morgan Chase

Data Scientist Lead

Wilmington, DE · On-site

... as new technologies and techniques arrive. * Expertise in the scientific method, able to frame a ... The CCB Data & Analytics team responsibly leverages data across Chase to build competitive ...

JPMorgan Chase & Co

Data Scientist Lead

Wilmington, DE · On-site

... as new technologies and techniques arrive. * Expertise in the scientific method, able to frame a ... The CCB Data & Analytics team responsibly leverages data across Chase to build competitive ...

JPMorgan Chase & Co.

Data Scientist Lead

Wilmington, DE · On-site

$142.50K - $210K/yr

... as new technologies and techniques arrive. * Expertise in the scientific method, able to frame a ... The CCB Data & Analytics team responsibly leverages data across Chase to build competitive ...

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New Grad Data Scientist information

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$37.5K

$122.8K

$196.7K

How much do new grad data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for new grad data scientist in Delaware is $122,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a New Grad Data Scientist, and why are they important?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What are New Grad Data Scientists?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Delaware? For New Grad Data Scientist jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching New Grad Data Scientist jobs in Delaware look for? The top searched job categories for New Grad Data Scientist jobs in Delaware are:
What cities in Delaware are hiring for New Grad Data Scientist jobs? Cities in Delaware with the most New Grad Data Scientist job openings:
New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist job openings in Delaware as of May 2026, with employment types broken down into 9% Full Time, and 91% Part Time. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.
Data Scientist

Data Scientist

Continental Finance Company

Wilmington, DE • On-site

Full-time

Posted 15 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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