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Flexible Data Science Civil Engineering Jobs (NOW HIRING)

Participating in field inspections, data collection, and construction verification * Supporting ... About Civil Science Civil Science isn't just another engineering firm--we're a 100% employee-owned ...

Field Engineer

Richfield, UT · On-site

$60 - $80/hr

Participating in field inspections, data collection, and construction verification * Supporting ... About Civil Science Civil Science isn't just another engineering firm--we're a 100 ...

Associate Director of Data Science

Columbia, MD · On-site

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical ...

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Flexible Data Science Civil Engineering information

What is a flexible data science civil engineering?

A Flexible Data Science Civil Engineering job combines the principles of civil engineering with data science techniques, allowing professionals to analyze complex infrastructure data, optimize project designs, and improve construction processes. The 'flexible' aspect typically refers to flexible work arrangements, such as remote work, part-time hours, or project-based roles. Professionals in this field use tools like machine learning, statistical analysis, and big data to inform decisions about transportation, water resources, structural engineering, and more. This role is ideal for those who are interested in leveraging data-driven insights to solve real-world engineering problems while enjoying adaptable work schedules.

What are the key skills and qualifications needed to thrive as a flexible data science civil engineer?

To thrive as a Flexible Data Science Civil Engineer, you need a solid background in civil engineering principles, statistics, and data analysis, typically supported by a relevant engineering degree. Proficiency with data analysis tools like Python, R, MATLAB, and civil engineering software such as AutoCAD or GIS platforms is highly valued, and certifications in data science or engineering can be beneficial. Strong problem-solving, communication, and adaptability skills set candidates apart, especially when translating complex data insights into practical engineering solutions. These competencies enable professionals to innovate, optimize infrastructure projects, and address real-world challenges effectively in a rapidly evolving field.

How does a flexible data science role in civil engineering typically collaborate with multidisciplinary teams on infrastructure projects?

In a Flexible Data Science Civil Engineering role, professionals often work closely with civil engineers, project managers, GIS specialists, and construction teams to analyze large datasets related to structural performance, materials, and site conditions. Collaboration usually involves translating complex data insights into actionable recommendations that inform design choices, project timelines, and risk assessments. Regular meetings, shared digital platforms, and data visualization tools are commonly used to ensure clear communication across disciplines, enabling data-driven decision-making throughout the project lifecycle.

What is the difference between Flexible Data Science Civil Engineering vs Structural Engineer?

AspectFlexible Data Science Civil EngineeringStructural Engineer
Required CredentialsBachelor's or master's in civil engineering, data science, or related fields; certifications in data analysis or civil engineeringBachelor's or master's in civil or structural engineering; PE license often preferred
Work EnvironmentDesigning data-driven solutions for civil projects, often in offices or on-siteDesigning, analyzing, and inspecting structural components, mainly in offices or construction sites
Industry UsageUsed in infrastructure projects, urban planning, and smart city initiativesPrimarily in building, bridge, and infrastructure design and safety assessments

Flexible Data Science Civil Engineering combines data analysis skills with civil engineering knowledge to develop innovative solutions. In contrast, Structural Engineers focus on designing and analyzing physical structures. Both roles require civil engineering credentials but differ in their focus—data-driven analysis versus structural design.

What cities are hiring for Flexible Data Science Civil Engineering jobs?

Cities with the most Flexible Data Science Civil Engineering job openings:

What are the most commonly searched types of Data Science Civil Engineering jobs?

The most popular types of Data Science Civil Engineering jobs are:

What states have the most Flexible Data Science Civil Engineering jobs?

States with the most job openings for Flexible Data Science Civil Engineering jobs include:

What other helpful pages are available for Flexible Data Science Civil Engineering?

Other pages related to Flexible Data Science Civil Engineering:

Infographic showing various Flexible Data Science Civil Engineering job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, and 3% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Professional Civil Engineer

Norcross, GA • On-site

United Consulting Group, ltd.
Civil Engineering Construction • 51 - 200 employees

Full-time

Posted 15 days ago


Job description

Description:

Description

Civil Engineer (Houston, TX): Performs civil engineering duties for projects and related business initiatives so that a full continuum of services is created and structured in response to client needs and United Consulting objectives. Performs the daily operational and specialized needs of all civil engineering project development to include civil engineering programs and projects. Executes all the objectives of the strategic mission and business plan by implementing the directions provided by the management team in the field of civil engineering. 

Requirements:

Qualifications:

The preferred candidate will have the following:

A minimum of a Bachelor of Science degree in one of the following fields of science:  Civil Engineering, Geology, Construction Management, Environmental Science, or another similar science degree 

• Strong communication skills
• Position entails approximately 80% fieldwork and 20% office with occasional travel.

Experience preferred but not required.


PHYSICAL REQUIREMENTS:

  • You must be able to pour concrete into cylinders and transport it to the vehicle and the laboratory. These cylinders can weigh up to approximately 30 pounds each.
  • Must be able to manually hand auger in the soil to obtain a soil sample.
  • Must be able to carry various kinds of equipment that weighs up to 50 lbs. from the vehicle to and from the job sites.