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Flexible Data Science Civil Engineering Jobs in Ohio

Civil Engineering Technician

Cleveland, OH

$20.75 - $28.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data and their impact on the planning and design of projects; * Perform zoning, ordinance and ... Langan offers employee resource groups; flexible work schedules; extensive training; wellness ...

Civil Engineering Technician

Cleveland, OH · On-site

$20.75 - $28.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data and their impact on the planning and design of projects; * Perform zoning, ordinance and ... Langan offers employee resource groups; flexible work schedules; extensive training; wellness ...

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 ...

Civil Engineering Tutor

Akron, OH · Remote

$18 - $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 ...

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

Civil Engineering Intern

Cleveland, OH · On-site

$17 - $22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineers, scientists, digital innovators, program and construction managers and other ... perks, flexible work options, well-being resources, employee assistance program, business travel ...

$16.75 - $21.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineers, scientists, digital innovators, program and construction managers and other ... perks, flexible work options, well-being resources, employee assistance program, business travel ...

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Flexible Data Science Civil Engineering information

What is a flexible data science civil engineering?

A Flexible Data Science Civil Engineering job combines the principles of civil engineering with data science techniques, allowing professionals to analyze complex infrastructure data, optimize project designs, and improve construction processes. The 'flexible' aspect typically refers to flexible work arrangements, such as remote work, part-time hours, or project-based roles. Professionals in this field use tools like machine learning, statistical analysis, and big data to inform decisions about transportation, water resources, structural engineering, and more. This role is ideal for those who are interested in leveraging data-driven insights to solve real-world engineering problems while enjoying adaptable work schedules.

What are the key skills and qualifications needed to thrive as a flexible data science civil engineer?

To thrive as a Flexible Data Science Civil Engineer, you need a solid background in civil engineering principles, statistics, and data analysis, typically supported by a relevant engineering degree. Proficiency with data analysis tools like Python, R, MATLAB, and civil engineering software such as AutoCAD or GIS platforms is highly valued, and certifications in data science or engineering can be beneficial. Strong problem-solving, communication, and adaptability skills set candidates apart, especially when translating complex data insights into practical engineering solutions. These competencies enable professionals to innovate, optimize infrastructure projects, and address real-world challenges effectively in a rapidly evolving field.

How does a flexible data science role in civil engineering typically collaborate with multidisciplinary teams on infrastructure projects?

In a Flexible Data Science Civil Engineering role, professionals often work closely with civil engineers, project managers, GIS specialists, and construction teams to analyze large datasets related to structural performance, materials, and site conditions. Collaboration usually involves translating complex data insights into actionable recommendations that inform design choices, project timelines, and risk assessments. Regular meetings, shared digital platforms, and data visualization tools are commonly used to ensure clear communication across disciplines, enabling data-driven decision-making throughout the project lifecycle.

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

AspectFlexible Data Science Civil EngineeringStructural Engineer
Required CredentialsBachelor's or master's in civil engineering, data science, or related fields; certifications in data analysis or civil engineeringBachelor's or master's in civil or structural engineering; PE license often preferred
Work EnvironmentDesigning data-driven solutions for civil projects, often in offices or on-siteDesigning, analyzing, and inspecting structural components, mainly in offices or construction sites
Industry UsageUsed in infrastructure projects, urban planning, and smart city initiativesPrimarily in building, bridge, and infrastructure design and safety assessments

Flexible Data Science Civil Engineering combines data analysis skills with civil engineering knowledge to develop innovative solutions. In contrast, Structural Engineers focus on designing and analyzing physical structures. Both roles require civil engineering credentials but differ in their focus—data-driven analysis versus structural design.

What are the most commonly searched types of Data Science Civil Engineering jobs in Ohio?

The most popular types of Data Science Civil Engineering jobs in Ohio are:

What cities in Ohio are hiring for Flexible Data Science Civil Engineering jobs?

Cities in Ohio with the most Flexible Data Science Civil Engineering job openings:

Infographic showing various Flexible Data Science Civil Engineering job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

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Job description

Data Science Manager

At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH.

The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operationsresulting in war-winning expeditionary capabilities.

Responsibilities include, but are not limited to the duties listed below:

  • Provide professional services in support of the Digital Materiel Management (DMM) initiative as defined in the PWS.
  • Support DMM modernization efforts by providing integrated tools for contract data normalization, analysis, and analytics to facilitate Air Force-wide insight into procurement data.
  • Utilize current and future DoD and Air Force IT systems to connect procurement data and generate tools and visualizations for the procurement community.
  • Perform professional and administrative tasks in support of the contracting functional community's DMM efforts.
  • Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
  • Acquire and analyze data and metrics across the enterprise to determine how they can be incorporated into data visualizations and dashboards.
  • Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements.
  • Serve as a functional and technical data visualization and business intelligence subject matter expert.
  • Translate business analysis and business needs into prototype concepts for reports and dashboards and contribute to design and visualization best practices.
  • Utilize business intelligence tools to take dashboard requirements and develop deliverable solutions.
  • Create and update Python scripts for data translation from multiple sources.
  • Serve as a functional and technical Robotic Process Automation (RPA) subject matter expert.
  • Document data acquisition, data management, and data governance processes.
  • Make and implement process improvements and efficiencies.
  • Create training materials and user guides.
  • Conduct group and one-on-one training sessions with end users.