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Entry Level Civil Engineering Data Science Jobs in Detroit, MI

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... Collaborate with engineering, manufacturing, and business teams to understand data and contribute ...

Civil Engineer

Detroit, MI · On-site

$28 - $32/hr

Our talented team of 650+ professionals delivers integrated planning, design, engineering, and ... entry-level experience. Over six months, you'll take part in a hands-on curriculum covering ...

Analyze survey reports, maps, and other data to plan projects. Consider construction costs ... Requirements Bachelor's degree in Civil Engineering or related field. Professional Engineer (PE ...

Parsons is looking forward to hiring an entry level Associate Bridge Engineer as a new graduate ... Bachelor of Science in Civil Engineering with structural engineering emphasis * Bridge design and ...

Associate Bridge Engineer

Troy, MI · On-site

$26.59 - $46.54/hr

Parsons is looking forward to hiring an entry level Associate Bridge Engineer as a new graduate ... Bachelor of Science in Civil Engineering with structural engineering emphasis * Bridge design and ...

Showing results 21-40

Entry Level Civil Engineering Data Science information

See Detroit, MI salary details

$40.1K

$72.8K

$119.8K

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

As of Aug 23, 2026, the average yearly pay for entry level civil engineering data science in Detroit, MI is $72,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $87,600.00 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 Detroit, MI?

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

What cities near Detroit, MI are hiring for Entry Level Civil Engineering Data Science jobs?

Cities near Detroit, MI with the most Entry Level Civil Engineering Data Science job openings:

Infographic showing various Entry Level Civil Engineering Data Science job openings in Detroit, MI as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $72,790 per year, or $35 per hour.

Data Science Intern

Faurecia

Auburn Hills, MI • On-site

Internship

Re-posted 26 days ago


Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Forvia, a sustainable mobility technology leader
New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, FORVIA anticipates the future of mobility developing cutting-edge solutions for smart life on board and sustainable mobility. If you're willing to contribute and create value for tomorrow's cleaner and smarter mobility, FORVIA is the place to be.
FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan.
Your mission, roles and responsibilities
  • Assist in designing, building, and testing machine learning models for use cases such as computer vision, predictive maintenance, and anomaly detection.
  • Support the development of end-to-end ML workflows, including data preprocessing, feature engineering, and model evaluation.
  • Collaborate with engineering, manufacturing, and business teams to understand data and contribute to solving practical problems using AI.
  • Help optimize model performance and experiment with different algorithms under guidance from senior team members.
  • Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to develop and test models.
  • Assist in integrating models into applications and workflows alongside data and software engineers.
  • Contribute to exploratory AI initiatives, including generative AI use cases.
  • Document code, experiments, and findings to support reproducibility and knowledge sharing.
  • Stay current with emerging trends in data science and machine learning.

Your profile and competencies to succeed
  • Enrolled in a Bachelor's or Master's degree program
  • Data analysis and excel skills are a plus
  • Majors in computer science, data analysis, or related firld
  • Graduation of 2027 or later
  • Minimum 2.8 GPA

What we can do for you
  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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