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Flexible Data Science Civil Engineering Jobs (NOW HIRING)

Land Development Project Manager (PE)

Lehi, UT · On-site

$93K - $121K/yr

About Civil Science Civil Science isn't just another engineering firm-we're a 100% employee-owned company with over 40 years of expertise and a bold vision for the future. Our team of talented ...

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 ...

... and analyzation of engineering data, review of contracts and contract specifications, and ... science, civil engineering technology, or architectural technology for two years of the experience ...

... and analyzation of engineering data, review of contracts and contract specifications, and ... An Associate degree from a technical institute or community college in engineering science, civil ...

... and analyzation of engineering data, review of contracts and contract specifications, and ... science, civil engineering technology, or architectural technology for two years of the experience ...

Civil Engineering Intern

Concord, CA · On-site

$25 - $34.11/hr

Interns will be paired with experienced engineering and science staff who will provide training on ... Collaborate with current engineering staff in the interpretation of engineering data, conduct ...

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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:
Research Assistant in Civil Engineering

Other

Posted 8 days ago


University Of Texas Rio Grande Valley rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

268th of 544 rated colleges and universities


Job description

Title Information
Assistantship Title Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications

Minimum Qualifications
1. Currently admitted to the Graduate School
2. Be in good academic standing
3. Be registered full-time for the respective semester (nine semester credit hours during the fall semester, nine semester credit hours during spring semester, six semester credit hours during the summer session(s)), or in the required number of semester credit hours to fulfill the only remaining requirements on the degree plan.

Position Information
Posting Number A0022 Working Title Research Assistant in Civil Engineering Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Civil Engineering Division Provost - Academic Affairs FTE .5 Scope of Job

Maximum appointment is limited to twenty (20) hours per week (50% FTE) during the Fall and Spring semesters. Maximum appointment may be increased up to forty (40) hours per week (100% FTE) during the summer if funded by a grant.

Discipline Specific Required Qualifications

The Research Assistant assistantship award is available to master's students who are assigned to a specific faculty member who is conducting research or a scholarly endeavor. Duties will vary depending on the project and assigned research/scholarly functions, or other creative aspects.

Preferred Qualifications Salary Commensurate with experience Number of Vacancies Multiple Desired Start Date 09/01/2020
Posting Detail Information
EEO Statement

It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the civil rights act of 1964, the title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.

Open Date 08/28/2020 Special Instructions to Applicants

All applications must be submitted via the UTRGV application portal at http://careers.utrgv.edu.

If you are applying for the first time, please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application.

A Criminal Background Check must be conducted for all applicants.

Quick Link https://utrgv-sb.peopleadmin.com/postings/12039

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