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Remote Data Science Civil Engineering Jobs in Raleigh, NC

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

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

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

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

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for ... Minimum of 3 years of professional experience in data science, statistical programming, or ...

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Deliver governed datasets and feature engineering and serving patterns for machine learning ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big ...

... expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions ...

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Showing results 1-20

Remote Data Science Civil Engineering information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jun 16, 2026, the average yearly pay for remote data science civil engineering in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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.
What are the most commonly searched types of Data Science Civil Engineering jobs in Raleigh, NC? The most popular types of Data Science Civil Engineering jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Science Civil Engineering jobs in Raleigh, NC? For Remote Data Science Civil Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Civil Engineering jobs in Raleigh, NC look for? The top searched job categories for Remote Data Science Civil Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Science Civil Engineering jobs? Cities near Raleigh, NC with the most Remote Data Science Civil Engineering job openings:
Infographic showing various Remote Data Science Civil Engineering job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Manager Data Science

LexisNexis

Raleigh, NC • On-site, Remote

Full-time

Medical, Life, Retirement

Posted 16 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 428 rated business services


Job description

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **

Are you looking to develop your Data Scientist career?

Do you enjoy coaching others to achieve high standards?

Join us in shaping a more just world.

About Us:

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

About the Role:

As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.

For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.

Responsibilities:

  • Leading the development of advanced AI and machine learning models to solve complex business problems

  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions

  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs

  • Analyzing large datasets to identify patterns and trends that can inform AI development

  • Communicating findings and insights to stakeholders in a clear and concise manner

  • Staying current with the latest AI and machine learning trends and technologies

  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices

  • Driving best practices across our data science functions

  • Setting strategy and team direction, with a clear vision for Data Science

  • Working with product leaders to apply data science solutions.

  • Evaluating and creating new frameworks and defining methodologies and governance

  • Leading small- to medium-sized teams (direct or indirect)

  • Setting a high-bar for model development

Requirements:

  • Have substantial experience in a senior data scientist role

  • Have experience in leading complex projects and customer relationships

  • Have significant experience in managing larger Technical teams (direct or indirect)

  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues

  • Be a natural problem solver, able to take a lead in collaborating to resolve issues

  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

  • 7-10+ years of experience in AI and machine learning

  • Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests

  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.

  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.

  • Experience with reinforcement learning, prompt engineering, hallucination mitigation

  • Working understanding of the business risks associated with applying LLM in a business

  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

  • Strong coding skills in Python or another programming language

  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders

  • Strong problem-solving skills and the ability to think outside the box

Work in a way that works for you:

We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees

Working with Us:

LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.

Working for you:

We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Comprehensive, multi-carrier health plan benefits
- Disability insurance
- Dependent care and commuter spending accounts
- Life and accident insurance
- Retirement benefits (salary investment plan/employer stock purchase plan)
- Modern family benefits, including adoption and surrogacy

About our Team:

LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.

#AIFluency

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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