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Entry Level Civil Engineering Data Science Jobs in Ottawa, ON

Td

Business Insights Analyst II

Ottawa, ON · On-site

CA$81K - CA$115K/yr

In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent ... Undergraduate degree from a technical domain (e.g. computer science, engineering, mathematics, or ...

Larus Technologies

Frontend/UI Developer

Ottawa, ON · On-site

Collaborate across disciplines, backend engineers, data scientists, and product managers, within an agile process. Qualifications Some individuals are less likely to apply for a job unless they ...

Aecon Group Inc.

Surveyor

Hamilton, ON · On-site

CA$25 - CA$40/hr

Post-secondary education in Surveying, Geomatics or Civil Engineering. * Knowledge of survey ... Strong computer skills and proficient in the use of office, data, surveying, and engineering-based ...

Buttcon Construction

Estimator

Kanata, ON · On-site

Research and gather data on current market price for materials, labor rates, and equipment rental ... Bachelor's degree in construction management, Civil Engineering, or a related field. * A minimum of ...

Parsons

Construction Inspector - Infrastructure

Ottawa, ON · On-site

CA$32.64 - CA$56.68/hr

... field data in report form for review of project designer Qualifications: oHigh school diploma, post-secondary degree or diploma in civil engineering or related field experience o Designation as ...

Q-Block Computing

Quantum Scientist

Ottawa, ON · On-site

CA$65K - CA$125K/yr

... data to extract physical understanding. * Contribute to research at the intersection of fundamental science and new technology development including quantum metrology, coherence engineering, and the ...

Q-Block Computing

Quantum Scientist

Ottawa, ON · On-site

$65K - $125K/yr

... data to extract physical understanding. * Contribute to research at the intersection of fundamental science and new technology development - including quantum metrology, coherence engineering, and ...

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Entry Level Civil Engineering Data Science information

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 Ottawa, ON?

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

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What cities near Ottawa, ON are hiring for Entry Level Civil Engineering Data Science jobs?

Cities near Ottawa, ON with the most Entry Level Civil Engineering Data Science job openings:

Entry Level Civil Engineering Data Science jobs near you

Data Management Assistant

Hamilton, ON

Hamilton Health Sciences
See more jobs at Hamilton Health Sciencesexternal

Full-time

Re-posted 2 days ago

Job description

The Data Management Assistant's overall purpose is the verification of study data while developing/maintaining the study database, and study reports as well as providing detailed information in response to inquiries from staff and study centres.

Evaluate clinical, laboratory and diagnostic case report forms and identify deviant, discrepant or inconsistent data reporting.

The ability to apply knowledge of the Study Protocol, Good Clinical Practice, Standard Operating Procedures, study plans and other study documents to daily activities.  The ability to apply critical thinking skills to ensure accuracy, effectiveness and efficiency of the study and study related tasks.

Database Development

  • Collaborate with the Research Coordinator, Research Assistant and or Principal Investigator to coordinate the design and        implementation of the study data management database(s), including testing.
  • Collaborate with the Research Coordinator, Research Assistant and or Principal Investigator to create, program, test, implement and maintain study specific Edit Checks.

Study Start Up

  • Create/revise/test/approve Case Report Forms (CRFs), and Reference pages.
  • Collaborate with study team to ensure that sites are provided with the appropriate start up materials.
  • Collate with preparing site initiation power point presentations, creation of study protocol and CRF binders, Log shipment of start-up supplies.
  • Communicate with sites to ensure all specific regulations are being met.

Edit checks and Reports

  • Collaborate with study team and database programmers to implement and test study specific edit checks.
  • Study specific report creation, implementation, analysis and distribution.

Data Validation

  • Oversees the collection, entry, delivery, verification, management, analysis and reporting of data.
  • Conduct, analyze and summarize data audits.
  • Identify deviant, discrepant, or inconsistent data.
  • Applies quality control notes to identify issues with data.
  • Identify issues with database implementation.
  • Identify protocol deviations and lost to follow-up patients.

Follow-up with sites

  • Data quality, overdue visits, source document collected for adjudication.
  • Site questions and concerns, site training.

Site correspondence

  • Responds to inquiries from study centres regarding data quality/issues.
  • Conduct conference calls with the Sponsor and Clinical Research Associates for site updates.

Prepare study materials

  • Prepare for study meetings (collect materials, create presentation slides).
  • Organize travel arrangements.
  • Order supplies.
  • Create slides for scientific meetings.

Research/Data Management Experience:

  • Ability to assess data analytically for quality and consistency.

  • High level of attention to detail, organizational and problem solving skills to ensure overall best data quality.

  • Ability to effectively integrate the requirements for database design and functionality to achieve a high level of data quality.

  • Ability to manage data including database design and development, CRF creating, edit checks, testing and validation while utilizing required systems.

  • Ability to assess and analyze large volumes of data while isolating trends and identifying discrepancies and errors to ensure clean data.

Computer skills

  • Knowledge of REDCap and databases such as ORCCID and IRIS.

  • Proficient in Microsoft Office (Word, Excel, , and PowerPoint).

Communication

  • Excellent written and oral communication skills and ability to work flexible hours

  • Ability to work with a multidisciplinary team (local, national, and international) to produce high quality study results. 

  • Ability to delegate responsibility to other staff and work independently as required.

Assets: 

  • Bachelor's degree in science preferred

  • Working knowledge of HHSC systems, processes, organizational structure and SOPs.

  • Clinical Trial experience.

  • GCP, TCPS2 training.

Apply