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Manager Data Science Civil Engineering Jobs (NOW HIRING)

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Master's Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical ... Presents findings and makes recommendations to senior management. * Acts as peer reviewer of ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

As a member of the Data Analytics team, you will partner closely with Product, Engineering, and ... We are looking for a hands-on Data Science Manager to lead our growing Data Science function while ...

Exercising discretion at a more senior level, partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad ...

Manager - Data Science

Irving, TX · On-site

$100 - $130/hr

Manage a team of data scientists* Mentor analysts regarding analytics best practices, methodologies, and programming techniques* Develop objective staff development strategies, effectively growing ...

New

The Manager - Data Science role is essential for determining effective CRM tactics that drive ... methodologies, and programming techniques • Develop objective staff development strategies ...

Collaborate cross-functionally with engineering, product, and intelligence teams to turn raw ... Prior hands-on experience as an MLE or data scientist -- this is not a pure people-management role.

New

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Programming skills to access,transformand prepare large scale data for machine learning modeling.

New

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Serves as a business change agent leading process re-engineering activities/project. * Manages the ...

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Serves as a business change agent leading process re-engineering activities/project. * Manages the ...

Manager, Data Science

Denver, CO · On-site

$158 - $185/hr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build ... Bachelor's degree in computer science, data analytics, computer engineering, information systems ...

New

As part of the Data Science and Engineering team, this role combines strategic leadership, technical expertise, and people management to deliver innovative data solutions while ensuring robust ...

Manage a team of data scientists * Mentor analysts regarding analytics best practices, methodologies, and programming techniques * Develop objective staff development strategies, effectively growing ...

Manage a team of data scientists * Mentor analysts regarding analytics best practices, methodologies, and programming techniques * Develop objective staff development strategies, effectively growing ...

Manage a team of data scientists * Mentor analysts regarding analytics best practices, methodologies, and programming techniques * Develop objective staff development strategies, effectively growing ...

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Manager Data Science Civil Engineering information

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$31K

$97.1K

$172K

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

As of Aug 21, 2026, the average yearly pay for manager data science civil engineering in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Science Civil Engineering vs Civil Engineering Project Manager?

AspectManager Data Science Civil EngineeringCivil Engineering Project Manager
Required CredentialsMaster's in Data Science, Civil Engineering, or related field; certifications in project management or data analyticsBachelor's or Master's in Civil Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentData analysis teams, engineering firms, research institutionsConstruction sites, engineering firms, project offices
Employer & Industry UsageTech-driven civil engineering projects, infrastructure analyticsConstruction projects, infrastructure development, urban planning

The Manager Data Science Civil Engineering focuses on analyzing data to optimize civil engineering projects, while the Civil Engineering Project Manager oversees the planning, execution, and completion of civil construction projects. Both roles require engineering knowledge but differ in their core responsibilities and work environments.

More about Manager Data Science Civil Engineering jobs

What cities are hiring for Manager Data Science Civil Engineering jobs?

Cities with the most Manager Data Science Civil Engineering job openings:

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

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

What states have the most Manager Data Science Civil Engineering jobs?

States with the most job openings for Manager Data Science Civil Engineering jobs include:

Infographic showing various Manager Data Science Civil Engineering job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Principal Data Scientist

CYNET SYSTEMS

Oakland, CA • On-site

$128 - $148/hr

Contractor

Re-posted 15 days ago


Job description

Job Overview:

Pay Range: $128.66hr - $148.45hr

Requirement/Must Have:

  • Master’s Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.
  • Experience in Data Science, 8+ years or 2+ years experience if possessing Doctoral Degree or higher in a related field.

Responsibilities:

  • Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
  • Creates advanced data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets.
  • Extracts, transforms, and loads data from dissimilar sources for machine learning feature engineering.
  • Applies data science/machine learning/artificial intelligence methods to develop defensible and reproducible predictive or optimization models.
  • Wrangles and prepares data as input for machine learning model development and feature engineering.
  • Architects, develops, and documents reusable functions and modular code for data science.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures, and advanced data analysis.
  • Works with stakeholder departments and subject matter experts to understand application and potential of data science solutions.
  • Presents findings and makes recommendations to senior management.
  • Acts as peer reviewer of complex models.

Nice to Have:

  • Doctorate Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.
  • Expertise in experimental design and causal inference methods.
  • Expertise in statistical methods for time series analysis, statistical modeling, and probabilistic risk assessment.
  • Relevant industry experience (electric or gas utility, data science consulting, etc.).
  • Familiarity with the use of supervised, unsupervised, deep learning & physics-based methods for modeling electrical infrastructure failure modes.
  • Competency with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices.
  • Knowledge of industry trends and current issues in job-related area of responsibility.
  • Competency with Agile product development best practices.
  • Proficiency with Python or PySpark, code reviews, and code development best practices.
  • Proficiency in explaining technical concepts including statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
  • Mastery in clearly communicating complex technical details and insights to colleagues and stakeholders.
  • Ability to develop, coach, teach and/or mentor others to meet both their career goals and the organization goals.

Skills:

  • Pyspark proficiency.
  • User interface development proficiency.
  • Strong cross-functional collaboration skills.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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