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Full Time Science Jobs in Baltimore, MD (NOW HIRING)

NOVACES

Senior Data Scientist

Baltimore, MD · On-site

Relevant data science, analytics, cloud, Agile, or project-related certifications helpful. Must be able to obtain a Tier 1 clearance. Employment Type: FULL_TIME

DCG

Social Scientist

Baltimore, MD · Remote

Support and implement social science research tasks of moderate to high technical complexity ... Note that the above benefits are available only to full-time employees of DCG* All qualified ...

Weeghman & Briggs LLC

Data Scientist 2

Annapolis, MD · On-site

$135K - $150K/yr

TS/SCI with Polygraph Employment Type: Full-Time Salary Range: $135,600-$150,700 Join a Growing Team at Weeghman & Briggs Weeghman & Briggs is seeking a motivated and mission-driven Data Scientist 2 ...

BOOZ, ALLEN & HAMILTON, INC.

Computer Scientist

Ashton, MD · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Computer Scientist

Laurel, MD · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsScience JobsFull Time Science JobsFull Time Science Jobs in Baltimore, MD

Full Time Science information

See Baltimore, MD salary details

$24.3K

$48.1K

$78.5K

How much do full time science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for full time science in Baltimore, MD is $48,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,300.00 and $51,700.00 per year, depending on experience, location, and employer.

What is a full-time science job?

A full-time science job typically refers to a professional position in the scientific field where an employee works the standard number of weekly hours, usually around 35-40. These jobs can be found in research, industry, education, healthcare, or government sectors, and may include roles such as laboratory technician, research scientist, science educator, or environmental analyst. Full-time science professionals are usually responsible for conducting experiments, analyzing data, writing reports, and collaborating with teams to advance scientific knowledge or solve practical problems. These positions often require at least a bachelor's degree in a science-related field, and sometimes an advanced degree, depending on the specialization.

What are the key skills and qualifications needed to thrive as a full-time scientist, and why are they important?

To thrive as a full-time scientist, you need a solid background in scientific research, data analysis, and a relevant degree (such as biology, chemistry, or physics). Familiarity with laboratory equipment, statistical software (like R or SPSS), and often advanced certifications or training in specialized techniques are typical requirements. Critical thinking, problem-solving, and effective communication skills help scientists excel in collaborative and innovative environments. These competencies are essential for conducting rigorous research, generating reliable results, and contributing to scientific advancements.

What types of projects and collaborations can I expect as a full-time scientist in a research-focused organization?

As a full-time scientist, you'll typically engage in a variety of research projects, either independently or as part of a multidisciplinary team. Collaboration is common, involving regular meetings with colleagues from different scientific backgrounds, and sometimes with external partners such as universities or industry sponsors. You'll likely be responsible for designing experiments, analyzing data, and presenting findings, all while contributing to the overall goals of your department. This collaborative environment fosters knowledge sharing and provides opportunities for professional growth through exposure to diverse perspectives and technologies.

What is the difference between Full Time Science vs Part Time Science?

AspectFull Time SciencePart Time Science
Work HoursTypically 35-40 hours per weekFewer hours, often less than 20 hours per week
CredentialsUsually requires a bachelor's or higher in science fieldsSame credentials as full-time, but often for shorter commitments
Work EnvironmentLaboratories, research facilities, or officesSimilar environments, but with flexible scheduling
Employment TypePermanent or long-term employmentTemporary, project-based, or freelance roles

Full Time Science roles involve consistent, long-term employment with regular hours, ideal for those seeking stability. Part Time Science positions offer flexibility and shorter commitments, suitable for students or those balancing other responsibilities. Both roles require similar educational credentials and often share work environments, but differ mainly in hours and employment structure.

What are the most commonly searched types of Science jobs in Baltimore, MD?

The most popular types of Science jobs in Baltimore, MD are:

What are popular job titles related to Full Time Science jobs in Baltimore, MD?

For Full Time Science jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Full Time Science jobs in Baltimore, MD look for?

The top searched job categories for Full Time Science jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Full Time Science jobs?

Cities near Baltimore, MD with the most Full Time Science job openings:

Full Time Science jobs near you
Infographic showing various Full Time Science job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $48,083 per year, or $23.1 per hour.

Senior Data Scientist

NOVACES

Baltimore, MD • On-site

Full-time

Re-posted 22 days ago

Job description

Note: This position is contingent on contract award.

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD.

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support SFLC business operations and logistics integration. This role will leverage advanced analytics, data modeling, automation, and data engineering methods to enhance data quality, accessibility, usability, and decision-making across the organization.

The successful candidate will support data integration and ETL activities, consolidate data from multiple logistics and business systems, automate data workflows, and help ensure timely, accurate, and consistent data availability for analytics and reporting. The role may involve working with data from transportation management systems, warehouse management systems, Coast Guard logistics systems, and other internal or external data sources.

Work may include collecting, cleaning, and preprocessing data; developing and implementing predictive and statistical models; supporting asset readiness forecasting, inventory management, and operational optimization; and designing dashboards and data visualizations that provide actionable insights to SFLC leadership and stakeholders.

This is a proposal-contingent position supporting anticipated work on site Baltimore, MD. Work may be performed through a mix of onsite and remote support from a CONUS location, subject to Government direction and approval.

Education: Bachelor's degree in data science, computer science, statistics, mathematics, engineering, operations research, information systems, analytics, or a related technical field. Advanced degree preferred.
Experience: 8+ years experience in data science, data engineering, analytics, modeling, or business intelligence experience supporting federal, DHS, DoD, Coast Guard, logistics, supply chain, readiness, operations research, or business performance environments.
Certifications: Relevant data science, analytics, cloud, Agile, or project-related certifications helpful. Must be able to obtain a Tier 1 clearance.


Employment Type: FULL_TIME

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