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Manager Data Science Civil Engineering Jobs in Berkeley, CA

CYNET SYSTEMS

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 ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape ... You have experience managing and developing data scientists or analysts and know how to set a high ...

Visa

Senior Manager, Data Science

Foster City, CA · On-site

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development ... engineering excellence. Be an idea leader and bring industry best practices to benefit the team and ...

SoFi

Senior Manager, Data Science

San Francisco, CA · On-site

This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data ...

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

The Senior Manager will act as an internal data consultant to Consumer Payments business partners ... Excellent programming skills in Python and SQL, with hands-on experience using large-scale data ...

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

The Senior Manager will act as an internal data consultant to Consumer Payments business partners ... Excellent programming skills in Python and SQL, with hands-on experience using large-scale data ...

Visa

Senior Manager, Data Science

Foster City, CA · On-site

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development ... engineering excellence. Be an idea leader and bring industry best practices to benefit the team and ...

APTIM

Civil Engineering Intern

Concord, CA · On-site

$25 - $34.11/hr

Interns will be paired with experienced engineering and science staff who will provide training on ... Collaborate with current engineering staff in the interpretation of engineering data, conduct ...

Teksky

Be Seen First

Civil Engineering Supervisor/Manager

Pleasant Hill, CA · On-site

Civil Engineering Supervisor/Manager Springfield, MO 65804 Seeking a Civil Engineer Supervisor/Manager to join our Civil Engineering Department. This position provides leadership and oversight for ...

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All JobsData Science Civil Engineering JobsManager Data Science Civil Engineering JobsManager Data Science Civil Engineering Jobs in Berkeley, CA

Manager Data Science Civil Engineering information

See Berkeley, CA salary details

$38K

$118.9K

$210.6K

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

As of Aug 23, 2026, the average yearly pay for manager data science civil engineering in Berkeley, CA is $118,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $153,700.00 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.

What are popular job titles related to Manager Data Science Civil Engineering jobs in Berkeley, CA?

For Manager Data Science Civil Engineering jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Manager Data Science Civil Engineering jobs in Berkeley, CA look for?

The top searched job categories for Manager Data Science Civil Engineering jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Manager Data Science Civil Engineering jobs?

Cities near Berkeley, CA with the most Manager Data Science Civil Engineering job openings:

Manager Data Science Civil Engineering jobs near you
Infographic showing various Manager Data Science Civil Engineering job openings in Berkeley, CA as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,948 per year, or $57.2 per hour.

Principal Data Scientist

CYNET SYSTEMS

Oakland, CA • On-site

$128 - $148/hr

Contractor

Re-posted 17 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

Social media

Twitter

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