ZipRecruiter

Log In

1

Data Science Entry Jobs in Maryland (NOW HIRING)

Pharmaron

Data Entry Specialist (PRN)

Baltimore, MD · On-site

$20 - $22/hr

Data Entry Specialist (PRN) Salary Range: $20.00/hr.- $22.00/hr. Location: Baltimore, MD (On-site ... Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron ...

Pharmaron

Data Entry Specialist (PRN)

Baltimore, MD · On-site

$20 - $22/hr

Data Entry Specialist (PRN) Salary Range: $20.00/hr.- $22.00/hr. Location: Baltimore, MD (On-site ... Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron ...

Pharmaron

Data Entry Specialist (PRN)

Baltimore, MD

$20 - $22/hr

Data Entry Specialist (PRN) Salary Range: $20.00/hr.- $22.00/hr. Location: Baltimore, MD (On-site ... Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron ...

Cni

Data Entry Operator I

Rockville, MD

$18/hr

SUMMARY A detailoriented data curator responsible for organizing, entering, reviewing, and managing ... This role requires strong scientific literacy, sound judgment, and the ability to accurately ...

ASHLIN Management Group, Inc.

Data Analyst

Bowie, MD · On-site

Develop data management programs and forms for data entry and maintenance by end-users * Document ... At least a Bachelor's Degree in Math, Probability & Statistics, or related data science field

next page

Showing results 1-20

All JobsData Science Entry JobsData Science Entry Jobs in Maryland

Data Science Entry information

See Maryland salary details

$10

$18

$27

How much do data science entry jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data science entry in Maryland is $18.90, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.25 per hour, depending on experience, location, and employer.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

What cities in Maryland are hiring for Data Science Entry jobs?

Cities in Maryland with the most Data Science Entry job openings:

Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $39,311 per year, or $18.9 per hour.

Data Scientist Development Program (DSDP) - Entry to Expert Level (MD)

Fort George G Meade, MD • On-site

U.S. Department of Defense (DOD)
Public Administration • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 538 frontline employees who took The Breakroom Quiz

27th of 49 rated military and defense

People enjoy working here

Good employer

Recommended by students

Learn more about U.S. Department of Defense (DOD)external

$87K/yr

Full-time

Posted 6 days ago

Job description

Data science is present in every aspect of NSA's mission to protect the nation. By joining our team, you will tackle challenging problems by leveraging big data, high-performance computing, machine learning and more. We are looking for senior-level data scientists who believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will develop solutions for complex data problems, taking full advantage of NSA's capabilities to tackle the priority.

Qualifications:The qualifications listed are the minimum acceptable to be considered for the position.
ENTRY
Entry is with an Associate's degree plus 2 years of relevant experience, or a Bachelor's degree and no experience, or a Master's degree and no experience. Relevant experience must be in one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering.
FULL PERFORMANCE
Entry is with an Associate's degree plus 5 years of relevant experience, or a Bachelor's degree plus 3 years of relevant experience, or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and no experience. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering.
SENIOR
Entry is with an Associate's degree plus 8 years of relevant experience, or a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.
EXPERT
Entry is with an Associate's degree plus 11 years of relevant experience, or a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of relevant experience. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.
Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position. Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application. Unofficial transcripts are fine at this stage.Education:Note that different degree fields have different requirements as described below.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework requirements.
Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).Employment Type: OTHER

What U.S. Department Of Defense employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply