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Data Science Civil Engineering Jobs (NOW HIRING)

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

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

Civil Science

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 ...

Civil Science

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 ...

Blend360

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 ...

Blend360

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 ...

StateJobsNY

Senior Engineering Technician

Syracuse, NY · On-site

$53K/yr

... 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 ...

StateJobsNY

Senior Engineering Technician

Scotia, NY · On-site

$53K/yr

... 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 ...

APTIM

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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All JobsData Science Civil Engineering Jobs

Data Science Civil Engineering information

See salary details

$25.5K

$103.3K

$196K

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

As of Jul 13, 2026, the average yearly pay for data science civil engineering in the United States is $103,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $136,500.00 per year, depending on experience, location, and employer.

How is data science used in civil engineering?

Data science in civil engineering involves analyzing large datasets to optimize design, construction, and maintenance of infrastructure. Civil engineers use data analytics, machine learning, and modeling tools to improve project efficiency, predict structural performance, and manage resources effectively.

What is a Data Science Civil Engineering job?

A Data Science Civil Engineering job combines data science techniques with civil engineering expertise to analyze, model, and optimize infrastructure projects. Professionals in this field use machine learning, statistical analysis, and big data tools to improve structural design, traffic systems, and environmental sustainability. They work with large datasets from sensors, GIS systems, and simulations to enhance decision-making in construction, transportation, and urban planning.

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

Data science civil engineering is a specialized field combining data analysis with civil engineering. While high salaries are possible for experienced professionals in senior roles, reaching $500,000 typically requires extensive experience, advanced skills, leadership positions, or working in high-cost regions or consulting firms. Most civil engineers earn lower base salaries, but additional compensation through bonuses or profit sharing can increase total earnings.

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 problem-solving and data analysis can be advantageous, especially when working with engineering or infrastructure data using tools like Python, R, or SQL.

What engineers make $500,000?

Senior civil engineers with extensive experience, specialized skills, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in consulting or managerial positions. Achieving this level often requires advanced certifications, a strong track record, and working in high-demand or high-cost regions.

What are the key skills and qualifications needed to thrive in the Data Science Civil Engineering position, and why are they important?

To excel in Data Science Civil Engineering, you need a strong background in civil engineering principles along with expertise in data analytics, statistical modeling, and programming languages such as Python or R. Familiarity with tools like MATLAB, GIS software, machine learning libraries, and certifications in data science or engineering analysis is often required. Strong problem-solving abilities, communication skills, and the capacity to work collaboratively with interdisciplinary teams distinguish top professionals in this field. These skills are crucial for driving data-informed decisions, optimizing engineering designs, and effectively addressing complex infrastructure challenges.

What are typical daily responsibilities for someone working in Data Science within Civil Engineering?

Professionals in Data Science Civil Engineering routinely analyze large datasets related to construction, infrastructure performance, and environmental variables to inform design and maintenance decisions. Daily tasks may include developing predictive models, preparing visualization dashboards, interpreting sensor data, and collaborating with civil engineers to translate data insights into actionable project recommendations. The role often requires close teamwork with engineering, IT, and project management staff to ensure that analytical findings align with project goals and regulatory requirements. This blend of technical and collaborative work makes each day dynamic and impactful, contributing directly to improved safety, efficiency, and sustainability in civil engineering projects.

More about Data Science Civil Engineering jobs
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Data Science Civil Engineering jobs near you
Data Science Expert - Fully Remote

Data Science Expert - Fully Remote

Mercor

New York, NY • Remote

$70 - $100/hr

Full-time

Re-posted 25 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Expert Professionals — AI & Data Science
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
  • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
  • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
  • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background.
  • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain technical decisions clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.