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Entry Level Data Science Jobs in Delaware (NOW HIRING)

Actalent

Environmental Field Technician

Wilmington, DE

$60K/yr

This role is ideal for an entry-level candidate who is hardworking, and eager to build a long-term ... Use Microsoft Office to complete basic documentation, data entry, reporting, and communication ...

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Entry Level Data Science information

See Delaware salary details

$10

$19

$26

How much do entry level data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level data science in Delaware is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Delaware?

The most popular types of Data Science jobs in Delaware are:

What are popular job titles related to Entry Level Data Science jobs in Delaware?

For Entry Level Data Science jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Delaware look for?

The top searched job categories for Entry Level Data Science jobs in Delaware are:

What cities in Delaware are hiring for Entry Level Data Science jobs?

Cities in Delaware with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,663 per year, or $19.1 per hour.

2027 Entry Level Supply Chain Direct Hire Opportunities

Qnity

Newark, DE • On-site

Full-time

Posted 20 days ago

Job description

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we're more than a global leader in materials and solutions for advanced electronics and high-tech industries - we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Qnity partners with customers at the cutting edge of technology to enable breakthroughs across AI, advanced computing, and advanced connectivity between and within next-generation devices. From groundbreaking solutions for semiconductor chip manufacturing, to enabling high-speed transmission within complex electronic systems, our high-performance materials and integration expertise make tomorrow's technologies possible -- powering the next leap forward.

Join us and become a part of an industry-leading, world-class company with deep materials science expertise, best-in-class manufacturing, and industry-leading innovations that make next-generation technology a reality for our customers. We believe in nurturing entry-level supply chain talent by providing a solid foundation for growth and development. We offer an environment that encourages creativity, innovation, and collaboration, providing employees with opportunities to advance their careers.

We are currently seeking individuals for critical Supply Chain opportunities at the following hiring locations:

  • Wilmington, DE

  • Newark, DE

In these roles, you will be responsible for implementing process improvements across supply chain and procurement processes, optimizing distribution networks, enhancing planning capabilities, and helping drive competitiveness in the supply of materials and services. You will collaborate with cross-functional teams to improve operational performance and support business objectives through data-driven decision making and continuous improvement initiatives.

You will have the opportunity to work in a variety of impactful roles, including Asset Scheduler, Distribution Requirements Planner, Material Planner, Demand Coordinator, Business Process Specialist, Procurement Process Improvement Specialist, Logistics Analyst, and Supply Chain Analyst.

Please note that talent identified through this job posting will be directly hired into one of the locations listed above. These roles are not part of a rotational program.

Requirements

  • Bachelor's or Master's degree in Supply Chain Management, Operations Management, Industrial Engineering, Business, Logistics, Procurement, or a related field at the time of employment.

  • GPA of 3.0 or higher on a 4.0 scale.

  • Minimum of 6 months of paid co-op, internship, or equivalent experience in supply chain, procurement, logistics, operations management, manufacturing, or related fields.

  • Legal right to work in the U.S. without current or future need for visa sponsorship.

Preferred Skills

  • Demonstrated leadership capabilities including initiative, agility, adaptability, and influence management.

  • Six Sigma Green Belt certification or willingness to become certified.

  • Strong analytical and critical thinking skills.

  • Ability to work effectively across teams and engage stakeholders to drive project success.

  • Demonstrated learning agility and a continuous improvement mindset.

Qnity is pursuing new technologies and performance materials that enable increasingly advanced, reliable, and powerful solutions for our customers. Every day, we are solving our customers' biggest challenges and are honored to be their partner of choice. If you are a curious, motivated individual ready to make an impact and contribute to meaningful business results, we encourage you to apply.

Join our Talent Community to stay connected with us!

Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit ourAccessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

We use Artificial Intelligence (AI) to enhance our recruitment process.

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