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Flexible Data Science Civil Engineering Jobs (NOW HIRING)

Thompson & Litton Inc

Civil Engineering Intern

Radford, VA · On-site

$16.50 - $22/hr

You are currently enrolled in a Bachelor of Science program for Civil Engineering . * Communication: Strong written and verbal skills to help translate technical data into clear reports. * Tech Savvy:

Apply Early

Civil Science

Survey Crew Chief

Idaho Falls, ID · On-site

Collect, process, and verify accurate survey data while maintaining quality and safety standards ... About Civil Science Civil Science isn't just another engineering firm-we're a 100% employee-owned ...

Civil Science

Survey Crew Chief

Idaho Falls, ID · On-site

Collect, process, and verify accurate survey data while maintaining quality and safety standards ... About Civil Science Civil Science isn't just another engineering firm--we're a 100% employee-owned ...

Apply Early

Civil Science

Survey Crew Chief

Twin Falls, ID

Collect, process, and verify accurate survey data while maintaining quality and safety standards ... About Civil Science Civil Science isn't just another engineering firm--we're a 100% employee-owned ...

Apply Early

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

... Civil Engineering , Physics , Chemistry , Mathematics , Materials Science , or other STEM background. * Demonstrated technical expertise in programming, data analysis, ML modeling , statistical ...

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All JobsFlexible Data Science Civil Engineering Jobs

Flexible Data Science Civil Engineering information

What are the key skills and qualifications needed to thrive as a Flexible Data Science Civil Engineer, and why are they important?

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.

What engineers make $500,000?

Highly experienced civil engineers, especially those in senior management or specialized consulting roles, can earn $500,000 or more annually. Achieving this level often requires advanced skills, extensive experience, and leadership responsibilities, sometimes supplemented by bonuses or profit sharing.

Can you make $500,000 as a civil engineer?

Senior civil engineers with extensive experience, specialized skills, and leadership roles can potentially earn $500,000 or more annually, especially in high-demand industries or managerial positions. However, typical salaries for civil engineers generally range lower, and reaching this level often requires advanced certifications, a strong track record, and working in lucrative sectors or locations.

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.

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 a Flexible Data Science Civil Engineering job?

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.

Can a civil engineer become a data scientist?

A civil engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional education or training. Their background in engineering and data analysis can provide a strong foundation for transitioning into data science roles, especially when combined with knowledge of data tools like Python, R, and SQL.

Is 40 too late for data science?

In data science roles within civil engineering, starting a career at 40 is feasible as skills in programming, statistics, and domain knowledge are valuable regardless of age. Many professionals successfully transition into data science later in life by gaining relevant certifications and experience. Age should not be a barrier if you develop the necessary technical skills and stay current with industry tools like Python, R, and data visualization software.
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:
Flexible Data Science Civil Engineering jobs near you
Civil Engineering Intern

Civil Engineering Intern

Thompson & Litton Inc

Radford, VA • On-site

$16.50 - $22/hr

Internship

Posted 22 days ago

Be an early applicant

Job description


Bridge the Gap Between Classroom and Career

Are you a Civil Engineering student ready to move beyond the textbook? Join Thompson & Litton in our Radford office for a hands-on internship that puts you at the center of land development and infrastructure design. This isn't just a role for 'assisting'it's an opportunity to learn the intricacies of site development, stormwater management, and utility design while working directly alongside licensed Professional Engineers (PEs).

The Role: What You'll Do

As a Civil Engineer Intern, you will be an integral part of our design team, supporting both public and private sector projects that shape the Southwest Virginia landscape. You will:

  • Design & Draft: Support the development of conceptual site layouts and construction drawings using AutoCAD Civil 3D.
  • Solve Problems: Assist with grading design, earthwork analyses, and complex stormwater management systems.
  • Navigate Regulations: Research municipal zoning and development ordinances to ensure project compliance.
  • Get in the Field: Participate in site visits and field investigations to see how plans translate to reality.
  • Build the Foundation: Help prepare engineering reports, technical specifications, and project proposals.
What You'll Bring
  • Current Pursuit: You are currently enrolled in a Bachelor of Science program for Civil Engineering.
  • Communication: Strong written and verbal skills to help translate technical data into clear reports.
  • Tech Savvy: Proficiency in Microsoft Office (Word and Excel).
Preferred Skills (The 'Nice-to-Haves')
  • Experience or interest in AutoCAD or Civil 3D.
  • Coursework emphasis in land development, water resources, or transportation.
  • A detail-oriented mindset and a desire to work in a collaborative, team-centric environment.
Why Thompson & Litton?

We are a multi-disciplined firm dedicated to serving our clients and our communities. As an intern, you'll receive mentorship from experienced project managers and gain the practical experience necessary to jumpstart your career in civil engineering. If you fit this role, we want to hear from you!