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Entry Level Data Science Jobs in Newark, DE (NOW HIRING)

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

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$10

$18

$26

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

As of Aug 21, 2026, the average hourly pay for entry level data science in Newark, DE is $18.69, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $20.96 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 Newark, DE?

The most popular types of Data Science jobs in Newark, DE are:

What are popular job titles related to Entry Level Data Science jobs in Newark, DE?

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

What job categories do people searching Entry Level Data Science jobs in Newark, DE look for?

The top searched job categories for Entry Level Data Science jobs in Newark, DE are:

What cities near Newark, DE are hiring for Entry Level Data Science jobs?

Cities near Newark, DE with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Newark, DE 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 $38,871 per year, or $18.7 per hour.

Data Collector, Testing and Data Collection

Dexis

Aberdeen Proving Ground, MD

Full-time

Posted 3 days ago

New


Job description

About the Position

Dexis is seeking a Data Collector to support a large-scale Army test and evaluation program. The project provides data collection, technical writing, computer operations, range scheduling, and administrative support services necessary to execute the government's test mission.  Support encompasses testing of a wide variety of automotive, combat, electronic, general equipment, and ordnance materiel, with services including data collection and coordination, data compilation and processing, development and management of data collection forms, test monitoring, technical writing and editorial review, reporting, data and software administration, range scheduling, and related operational support. 

The Data Collector is an entry-level position that develops practical knowledge of the equipment, procedures, and tools used in the data collection process through classroom and on-the-job training. The role assists with routine test projects by observing equipment and test instruments, recording and compiling test data, performing basic computations, and capturing image data. 

Work will be performed primarily onsite in Aberdeen, Maryland, with travel to other locations within the Continental United States (CONUS) and Outside the Continental United States (OCONUS) as required by mission needs. This position is contingent upon contract award.

Responsibilities
  • Acquire practical knowledge of the characteristics, properties, and uses of equipment necessary to carry out the data collection process through formal and informal classroom and on-the-job training. 
  • Become familiar with detailed data collection procedures that are established or repetitive. 
  • Assist with visually examining equipment or test items for flaws or defects on routine projects. 
  • Observe equipment operation to detect apparent malfunctions. 
  • Observe simple test instruments and controls during tests and record related test data. 
  • Download test data from onboard instrumentation. 
  • Perform specified arithmetic computations. 
  • Extract and compile specified data, including detailed narrative information, from records and other sources such as specifications and drawings. 
  • Capture image data in support of test activities. 
  • Perform job functions at sites other than Aberdeen as required. 
Qualifications 
  • One (1) year of experience using a computer and Microsoft software; OR successful completion of two (2) accredited computer classes. 
  • Must have a GPA of 2.5 or higher in each individual discipline of math and science and a GPA of 3.0 or higher in high school English or a GPA of 2.5 or higher in college English from an accredited high school or university. 
  • Must possess a high school diploma. 
  • Must be proficient in speaking, reading, writing, and understanding English. 
  • Must be able to communicate clearly and concisely, both orally and in writing. 
  • Must be proficient in the use of computers and Microsoft Office software. 
  • Must be able to obtain and maintain a Secret security clearance. 
  • Must be able to meet the physical requirements necessary to perform assigned functions, which may include working in extreme heat or cold, high humidity, blowing sand and dust, confined spaces, at heights, and walking distances over unimproved terrain while wearing required personal protective equipment (PPE). 
  • Must be available to support work outside normal duty hours when required by mission needs. 
  • Must be willing and able to travel within CONUS and OCONUS as required.Â