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Entry Level Civil Engineering Data Science Jobs in Greenville, SC

GLS relies heavily on Data Science and Decision Science to power automated, intelligent decision ... Proficiency in programming and working with open-source AI/ML languages and tools, including but ...

Translate business data challenges into concrete data science and AI/ML problem statements * Leverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows ...

New

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Translate business technical data challenges into concrete data science and AI/ML problem statements, acting as the domain-aware bridge between Engineering/Operations and the Digital team. * Leverage ...

Data Scientist (Remote) (Employer Name Not Available) Job #: 24-01550 • Source: SynergisticIT ... programming languages and visualization software. They apply data mining, data modeling, natural ...

We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with ...

WI-MAP Project Engineer (Entry-Level)

Greenville, SC · On-site

$63K - $83K/yr

Garver is seeking an entry level water industry professional to join the Water Infrastructure ... Display technical competency of water / wastewater engineering and civil engineering commensurate ...

Showing results 21-40

Entry Level Civil Engineering Data Science information

See Greenville, SC salary details

$38.1K

$69.1K

$113.8K

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

As of Sep 2, 2026, the average yearly pay for entry level civil engineering data science in Greenville, SC is $69,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $83,200.00 per year, depending on experience, location, and employer.

What is an entry level civil engineering data science?

An entry level civil engineering data science job involves using data analysis and computational tools to solve problems related to civil engineering, such as infrastructure design, construction, and maintenance. Professionals in this role work with large datasets from sensors, surveys, and simulations to help inform decisions about projects like roads, bridges, and buildings. They often use programming languages like Python or R and work with statistical methods, machine learning, and data visualization. This role is ideal for recent graduates with skills in both civil engineering fundamentals and data science techniques.

How do entry level civil engineering data scientists typically collaborate with engineering teams on infrastructure projects?

Entry-level civil engineering data scientists often work closely with multidisciplinary engineering teams to collect, analyze, and interpret large datasets related to infrastructure projects. They support decision-making by creating predictive models, visualizations, and reports that inform project design, construction, and maintenance. Collaboration usually involves regular meetings, sharing insights with engineers and project managers, and ensuring that data-driven recommendations align with technical and regulatory requirements. This partnership helps bridge the gap between data science and practical engineering solutions.

What are the key skills and qualifications needed to thrive as an entry level civil engineering data scientist, and why are they important?

To thrive as an Entry Level Civil Engineering Data Scientist, you need a solid grasp of civil engineering fundamentals, statistics, and data analysis, typically supported by a relevant engineering or data science degree. Familiarity with technical tools such as Python, MATLAB, AutoCAD, and data visualization platforms, as well as experience with databases and possibly certifications in data analytics, are highly beneficial. Strong problem-solving abilities, attention to detail, and communication skills make candidates stand out in this multidisciplinary role. These skills are crucial for accurately interpreting engineering data, supporting infrastructure decision-making, and effectively conveying insights to technical and non-technical stakeholders.

What is the difference between Entry Level Civil Engineering Data Science vs Entry Level Civil Engineering?

AspectEntry Level Civil Engineering Data ScienceEntry Level Civil Engineering
Required CredentialsBachelor's in Civil Engineering, Data Science, or related field; knowledge of programming and data analysisBachelor's in Civil Engineering or related field; engineering fundamentals
Work EnvironmentDesign firms, consulting agencies, government agencies with data analysis focusConstruction sites, design offices, infrastructure projects
Employer & Industry UsageUtilized in infrastructure planning, data-driven decision making, modelingDesign, construction, and maintenance of civil infrastructure

Entry Level Civil Engineering Data Science combines civil engineering fundamentals with data analysis skills, focusing on data-driven project optimization. In contrast, Entry Level Civil Engineering emphasizes traditional engineering design and construction. Both roles require a bachelor's degree, but the data science role demands additional programming and analytical skills, often working in environments that leverage data for infrastructure planning and management.

What are popular job titles related to Entry Level Civil Engineering Data Science jobs in Greenville, SC?

For Entry Level Civil Engineering Data Science jobs in Greenville, SC, the most frequently searched job titles are:

Infographic showing various Entry Level Civil Engineering Data Science job openings in Greenville, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,138 per year, or $33.2 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Global Lending Services rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Why GLS?

Purpose: Access to affordable, reliable transportation is essential to leading productive work and personal lives, caring well for oneself, one's family, and the needs of others. Through advanced analytics and technology, we can more accurately predict credit risk and provide more people with an affordable auto financing option for their next vehicle. That's what GLS has done for over 10 years, helping more than half a million families meet and improve their transportation needs. 

People: Join a culture of over 1,000 employees who Care Deeply and Think Boldly, driving innovation in an adaptive and positive culture that celebrates successes. We empower and reward individuals and teams who make direct, positive impacts to the business and each other, who take pride in their work and are ever-raising the bar. 

Growth: Recognized by Inc 5000 as one of the fastest-growing private companies in America. Join GLS to grow with us!

Benefits: GLS offers the below great benefits for your amazing work!
o   Competitive base pay and performance bonuses, dependent on role
o   Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability
o   401K with employer match and 100% immediate vesting
o   Paid Time Off (PTO) and paid company holidays to help you balance work and personal life
o   Paid Volunteer Time Off (VTO) Annually
o   Tuition Reimbursement
o   Parental Leave
o   Business casual work environment

***This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026***
 
What does it mean to be a Data Scientist  at GLS?
GLS relies heavily on Data Science and Decision Science to power automated, intelligent decision-making that strengthens dealer partnerships and enables us to offer affordable lending solutions to consumers. As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges by applying your strong critical thinking, academic expertise, and ability to quickly master new concepts and domains, transforming knowledge into practical solutions.
How will you drive value within the organization as a Data Scientist?
  • Understanding business problems and needs to design effective data science solutions
  • Gathering data from various sources, cleaning it appropriately, and visualizing it to identify anomalies and patterns
  • Developing robust predictive models using suitable modeling techniques
  • Generating insights and crafting a cohesive narrative from the data, summarizing analytical results, and presenting them to stakeholders
  • Collaborating with business partners to translate models into actionable business strategies
  • Working with IT to implement models into IT platforms for automated decision-making
  • Monitoring model performance to ensure effectiveness and validity
  • Continuously learning new technologies and refining skills daily
What should you already know to be successful as a Data Scientist?
  • Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning
  • Proficiency in programming and working with open-source AI/ML languages and tools, including but not limited to SQL, Python, R, scikit-learn, statsmodels, XGBoost, and LightGBM
  • Proven experience in managing and analyzing large datasets
  • Excellent written and verbal communication skills, with the ability to convey complex ideas in a clear, business-oriented, and user-friendly manner
  • Self-motivated with a demonstrated ability to take initiative, identify opportunities for improvement, make actionable recommendations, and see them through to implementation while assessing their effectiveness
  • Outstanding interpersonal skills: approachable, tactful, and capable of influencing others, resolving conflicts, exercising sound judgment, maintaining confidentiality, and collaborating with all levels of the organization to build strong cross-functional partnerships
Employment Requirements:
  • This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, the days and hours of work are Monday through Friday, 8:30am-5:30pm
  • Regular, predictable attendance is required, including in excess of 40 hours per week as business demands dictate
  • Evening and weekend work may be required as job duties demand
  • The position does not require travel
  • Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity
  • Remain in a stationary position up to 100% of the workday
  • Be able to perform activities such as: viewing a computer terminal, extensive reading, bending, and kneeling
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Please visit www.glsauto.com for information about our great company and other amazing opportunities

 
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