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Afternoon Data Science Civil Engineering Jobs (NOW HIRING)

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

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 ...

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 ...

... 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 ... 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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Afternoon Data Science Civil Engineering information

See salary details

$51.5K

$147.5K

$197K

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

As of Jul 13, 2026, the average yearly pay for afternoon data science civil engineering in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

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

Civil engineers typically earn salaries below $200,000 annually, with higher earnings possible for senior roles, project managers, or those working in specialized fields or high-cost regions. Achieving a $500,000 salary usually requires extensive experience, advanced certifications, leadership positions, or consulting work, which are less common in standard civil engineering roles.

What engineer makes $500,000 a year?

In the field of civil engineering, very few professionals earn $500,000 annually; such high salaries are typically associated with executive roles, consulting firm owners, or engineers with extensive experience and specialized expertise. Data scientists and certain senior engineers in high-demand industries may reach this level, especially with bonuses and profit sharing, but it is uncommon for standard civil engineers to do so.

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

AspectAfternoon Data Science Civil EngineeringAfternoon Data Science Structural Engineering
CredentialsDegree in Civil Engineering, Data Science certificationsDegree in Structural Engineering, Data Science certifications
Work EnvironmentConstruction sites, urban planning projectsDesign firms, building analysis environments
Industry UsageInfrastructure, transportation, urban developmentBuilding design, safety analysis, material testing

Both roles involve applying data science to engineering projects, but Civil Engineering focuses on infrastructure and urban projects, while Structural Engineering emphasizes building stability and safety. The required credentials and work environments overlap significantly, making them closely related but distinct specialties within engineering data science.

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, but they typically need to learn tools like Python, R, and data visualization software to transition successfully into data science roles.

Is 30 too late for data science?

For a data science civil engineering role, starting a career at age 30 is not too late, as many professionals transition into data analysis or engineering roles later in life. Success depends on acquiring relevant skills such as programming, statistics, and domain knowledge, which can be developed through online courses, certifications, or degrees. Experience, continuous learning, and practical application are key factors regardless of age.
What cities are hiring for Afternoon Data Science Civil Engineering jobs? Cities with the most Afternoon 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 Afternoon Data Science Civil Engineering jobs? States with the most job openings for Afternoon Data Science Civil Engineering jobs include:
Data Science Expert - Fully Remote

Data Science Expert - Fully Remote

Mercor

New York, NY • Remote

$70 - $100/hr

Full-time

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.