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Remote Data Science Civil Engineering Jobs (NOW HIRING)

Salas O'Brien

Civil Project Engineer

Austin, TX · On-site +1

$84K - $112K/yr

Lead the planning, design, and execution of civil engineering projects (e.g. - data collection ... A Bachelor of Science in Civil/Environmental Engineering or related field is required. * Candidates ...

College Board

Senior Data Scientist

... Data Science Team College Board - Technology Division Location: This is a fully remote role ... We have a passion for data analysis, programming, applying new technologies, and building practical ...

Mercor

AI Research Scientist - GenAI

New York, NY · Remote

$70 - $100/hr

Guide research and engineering teams to close knowledge gaps in AI and data science domains ... Civil Engineering , Physics , Chemistry , Mathematics , Materials Science , or other STEM ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an experienced Senior Data Science & Machine Learning Engineer to design, build, and deploy scalable data ...

Varsity Tutors

Civil Engineering Tutor

Minneapolis, MN · Remote

$40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Civil Engineering Tutor

Columbus, OH · Remote

$40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Civil Engineering Tutor

NV · Remote

$40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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All JobsRemote Data Science Civil Engineering Jobs

Remote Data Science Civil Engineering information

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$44.5K

$129.7K

$177.5K

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

As of Jun 20, 2026, the average yearly pay for remote data science civil engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

Remote data science roles in civil engineering are uncommon, and salaries reaching $500,000 are rare and typically reserved for senior-level positions, specialized consulting, or executive roles. Most civil engineers earn significantly less, with high salaries often associated with extensive experience, advanced certifications, or leadership responsibilities. Achieving such income levels generally requires a combination of expertise, project management skills, and sometimes entrepreneurial ventures.

What is a remote data science civil engineering job?

A remote data science civil engineering job combines the principles of civil engineering with data science techniques, allowing professionals to analyze, model, and interpret complex engineering data from a remote location. These roles typically involve tasks such as data analysis, predictive modeling, simulation, and optimization to improve infrastructure design, construction, and maintenance. Professionals in this field use programming languages, statistical methods, and engineering software to solve real-world civil engineering problems, all while working outside of a traditional office environment.

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

AspectRemote Data Science Civil EngineeringRemote Structural Engineering
Required CredentialsBachelor's or Master's in Data Science, Civil Engineering, or related fields; certifications in data analysis or civil engineeringBachelor's or Master's in Civil or Structural Engineering; PE license may be preferred
Work EnvironmentData analysis, modeling, and reporting using software like Python, R, or SQL; collaboration via online toolsDesign, analysis, and review of structural projects; remote collaboration with teams and clients
Employer & Industry UsageTech firms, consulting agencies, government agenciesConstruction firms, engineering consultancies, government agencies

Remote Data Science Civil Engineering focuses on data analysis and modeling within civil engineering projects, while Remote Structural Engineering emphasizes designing and analyzing structural components remotely. Both roles require engineering credentials but differ in daily tasks and software tools used.

How does a remote data science role in civil engineering typically interact with on-site engineering teams to ensure project alignment?

In a remote data science position within civil engineering, frequent collaboration with on-site engineering teams is essential to ensure data-driven insights align with practical project requirements. This is commonly achieved through regular video meetings, shared project management tools, and clear documentation of data methodologies and results. Remote data scientists often participate in cross-functional team discussions to translate complex analyses into actionable recommendations, bridging the gap between data insights and field implementation. Effective communication and proactive engagement are key to overcoming challenges posed by physical distance.

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

To thrive as a Remote Data Science Civil Engineer, you need a solid background in civil engineering principles, data analysis, and proficiency with programming languages like Python or R, often supported by an engineering degree and relevant certifications. Familiarity with software such as AutoCAD, GIS tools, data visualization platforms, and cloud-based collaboration systems is typically required. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively across virtual teams and translate data insights into practical engineering solutions. These capabilities are essential for leveraging data to drive innovation and efficiency in civil engineering projects while working remotely.

What engineers make $300,000 a year?

Senior civil engineers with extensive experience, specialized skills, and advanced certifications can earn $300,000 or more annually, especially in consulting or managerial roles. Data scientists working on infrastructure projects or in high-demand industries may also reach this level with expertise in machine learning, programming, and large datasets.

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. Data science roles in civil engineering are less common at this salary level but may reach high compensation with advanced expertise, project management, and industry demand.

Can a civil engineer do data science?

A civil engineer can do data science by applying skills in data analysis, programming, and statistical modeling to infrastructure projects. Learning tools like Python, R, and data visualization software enhances their ability to interpret large datasets and improve decision-making in civil engineering contexts.
More about Remote Data Science Civil Engineering jobs
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What job categories do people searching Remote Data Science Civil Engineering jobs look for? The top searched job categories for Remote Data Science Civil Engineering jobs are:
Remote Data Science Civil Engineering jobs near you

Data Science Specialist - Fully Remote

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 4 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: Data Science Experts
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
  • Design challenging data science tasks and write accurate, well-structured analytical solutions.
  • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
  • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
  • 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 analytical decisions and modeling choices 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.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

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.