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Remote Data Science Civil Engineering Jobs in Colorado

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Civil Project Manager

Englewood, CO ยท On-site +1

$110K - $150K/yr

Bachelor's in Civil Engineering (or related field) * Professional Engineer (PE) license -- Colorado ... Deliver excellence -- committed to outcomes, use data, follow through under pressure * Develop your ...

Degree in Civil Engineering * Professional Engineer (PE designation) preferred. * 1+ years of ... Flexible Work Schedules (Hybrid or Remote, when possible) * Wellness Program for Physical and ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

Senior Data Platform Engineer

Littleton, CO ยท Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

Bachelor's of Science degree in Civil or Structural engineering with four plus years of experience ... data, applicable bargaining agreement (if any), or other law.

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Remote Data Science Civil Engineering information

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 in the field. High earnings typically require extensive experience, specialized skills, management positions, or working in high-cost regions. Most civil engineers earn significantly less, with top salaries often exceeding $100,000 annually.

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.

Can a civil engineer become a data scientist?

A civil engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through online courses or advanced degrees. Their background in engineering and data analysis can provide a strong foundation for transitioning into data science roles, especially with experience in data management tools like Python, R, and SQL.

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.

Can data science jobs be done remotely?

Data science jobs, including roles related to civil engineering, are often performed remotely, especially when tasks involve data analysis, modeling, and programming that can be done with a computer and internet connection. Many companies offer remote positions for data scientists, requiring skills in tools like Python, R, and cloud platforms, and may involve collaboration through virtual communication platforms.

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 scientists and certain software engineers in high-demand industries may also reach this level with bonuses and stock options. Compensation varies based on location, industry, and individual expertise.
What are the most commonly searched types of Data Science Civil Engineering jobs in Colorado? The most popular types of Data Science Civil Engineering jobs in Colorado are:
What are popular job titles related to Remote Data Science Civil Engineering jobs in Colorado? For Remote Data Science Civil Engineering jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Civil Engineering jobs in Colorado look for? The top searched job categories for Remote Data Science Civil Engineering jobs in Colorado are:
Senior Data Analyst

Senior Data Analyst

NuView

Denver, CO โ€ข On-site, Remote

$90K - $120K/yr

Full-time

Re-posted 13 days ago


Job description

100% Remote Full-time Senior Analyst
At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of - humility, intellectual rigor, and stewardship - we help companies gain a new perspective on their business through their data.
Salary: $90k-120K + bonus + benefits
Location: 100% remote for US-based candidates
Responsibilities:
  • Candidate will complete data analytics and data science projects for clients
  • Candidate will be a key leader in researching and helping the company learn about new technologies/skillsets that are not currently possessed by the firm
  • Candidate will take Lead on client projects from start to finish - scoping, onboarding, delivering
  • Candidate will train and develop new team members in both engagement process and data analytics skill sets when needed

Projects Include:
  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development
  • Statistical modeling and machine learning

Qualifications:
  • Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 3-5 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, Power BI, or Looker all stars
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to Lead other team members as a player coach, completing projects side-by-side and teaching junior team members best practices and techniques
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)