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Entry Level Civil Engineering Data Science Jobs in Baltimore, MD

Data Science Tutor

Bowie, MD · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Baltimore, MD · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Laurel, MD · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Scientist 1

Annapolis, MD · On-site

$90K - $120K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical ...

Showing results 21-40

Entry Level Civil Engineering Data Science information

See Baltimore, MD salary details

$40.2K

$73.1K

$120.2K

How much do entry level civil engineering data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level civil engineering data science in Baltimore, MD is $73,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $87,900.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Civil Engineering Data Scientist, you need a solid grasp of civil engineering fundamentals, statistics, and data analysis, typically supported by a relevant engineering or data science degree. Familiarity with technical tools such as Python, MATLAB, AutoCAD, and data visualization platforms, as well as experience with databases and possibly certifications in data analytics, are highly beneficial. Strong problem-solving abilities, attention to detail, and communication skills make candidates stand out in this multidisciplinary role. These skills are crucial for accurately interpreting engineering data, supporting infrastructure decision-making, and effectively conveying insights to technical and non-technical stakeholders.

How do entry level civil engineering data scientists typically collaborate with engineering teams on infrastructure projects?

Entry-level civil engineering data scientists often work closely with multidisciplinary engineering teams to collect, analyze, and interpret large datasets related to infrastructure projects. They support decision-making by creating predictive models, visualizations, and reports that inform project design, construction, and maintenance. Collaboration usually involves regular meetings, sharing insights with engineers and project managers, and ensuring that data-driven recommendations align with technical and regulatory requirements. This partnership helps bridge the gap between data science and practical engineering solutions.

What is the difference between Entry Level Civil Engineering Data Science vs Entry Level Civil Engineering?

AspectEntry Level Civil Engineering Data ScienceEntry Level Civil Engineering
Required CredentialsBachelor's in Civil Engineering, Data Science, or related field; knowledge of programming and data analysisBachelor's in Civil Engineering or related field; engineering fundamentals
Work EnvironmentDesign firms, consulting agencies, government agencies with data analysis focusConstruction sites, design offices, infrastructure projects
Employer & Industry UsageUtilized in infrastructure planning, data-driven decision making, modelingDesign, construction, and maintenance of civil infrastructure

Entry Level Civil Engineering Data Science combines civil engineering fundamentals with data analysis skills, focusing on data-driven project optimization. In contrast, Entry Level Civil Engineering emphasizes traditional engineering design and construction. Both roles require a bachelor's degree, but the data science role demands additional programming and analytical skills, often working in environments that leverage data for infrastructure planning and management.

What is an entry level civil engineering data science?

An entry level civil engineering data science job involves using data analysis and computational tools to solve problems related to civil engineering, such as infrastructure design, construction, and maintenance. Professionals in this role work with large datasets from sensors, surveys, and simulations to help inform decisions about projects like roads, bridges, and buildings. They often use programming languages like Python or R and work with statistical methods, machine learning, and data visualization. This role is ideal for recent graduates with skills in both civil engineering fundamentals and data science techniques.
What are popular job titles related to Entry Level Civil Engineering Data Science jobs in Baltimore, MD? For Entry Level Civil Engineering Data Science jobs in Baltimore, MD, the most frequently searched job titles are:
What cities near Baltimore, MD are hiring for Entry Level Civil Engineering Data Science jobs? Cities near Baltimore, MD with the most Entry Level Civil Engineering Data Science job openings:

Data Scientist with Security Clearance

Fuse Engineering LLC

Fort George G Meade, MD • On-site

Other

Re-posted 23 days ago


Job description

Support for NLP project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text.  Requirements Clearance Required Top Secret SCI w/ Full Polygraph Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming,  , data structures, data mining, artificial intelligence).   College-level requirement, or upper-level math courses designated as elementary or basic do not count.  Must have some combination (2 or more) of the following skill areas:   Foundations: Mathematical, Computational, Statistical Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.