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Afternoon Data Science Civil Engineering Jobs (NOW HIRING)

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... Civil Engineering , Physics , Chemistry , Mathematics , Materials Science , or other STEM background. * Demonstrated technical expertise in programming, data analysis, ML modeling , statistical ...

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Afternoon Data Science Civil Engineering information

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$51.5K

$147.5K

$197K

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

As of Jun 14, 2026, the average yearly pay for afternoon data science civil engineering in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior civil engineers, especially those in specialized roles such as infrastructure project managers or consulting engineers with extensive experience, can earn $500,000 or more annually. High salaries are often associated with leadership positions, advanced certifications, or work in high-demand sectors like transportation or large-scale construction projects.

Can you make $500,000 as a civil engineer?

Civil engineers typically earn salaries below $500,000 annually, with high earners in specialized roles, management, or consulting positions sometimes reaching six-figure incomes. Achieving a $500,000 salary usually requires extensive experience, advanced certifications, or leadership in large projects, often beyond standard civil engineering roles.

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

AspectAfternoon Data Science Civil EngineeringAfternoon Data Science Structural Engineering
CredentialsDegree in Civil Engineering, Data Science certificationsDegree in Structural Engineering, Data Science certifications
Work EnvironmentConstruction sites, urban planning projectsDesign firms, building analysis environments
Industry UsageInfrastructure, transportation, urban developmentBuilding design, safety analysis, material testing

Both roles involve applying data science to engineering projects, but Civil Engineering focuses on infrastructure and urban projects, while Structural Engineering emphasizes building stability and safety. The required credentials and work environments overlap significantly, making them closely related but distinct specialties within engineering data science.

Can a civil engineer do data science?

A civil engineer can do data science by applying skills in data analysis, programming, and statistical modeling to infrastructure projects and engineering problems. Gaining knowledge of tools like Python, R, and data visualization software enhances their ability to analyze large datasets and improve decision-making in civil engineering contexts.

Is 30 too late for data science?

For a data science civil engineering role, starting a career at age 30 is not too late, as many professionals transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and domain knowledge, which can be developed through online courses, certifications, and practical experience. Age is less important than skills, continuous learning, and relevant project work in this field.
What cities are hiring for Afternoon Data Science Civil Engineering jobs? Cities with the most Afternoon 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 Afternoon Data Science Civil Engineering jobs? States with the most job openings for Afternoon Data Science Civil Engineering jobs include:
Afternoon Data Science Civil Engineering jobs near you
Data Scientist / Senior Data Scientist

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

Boston, MA • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Who are we?

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history.

Job Opportunity:

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.

The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.

Duties & Responsibilities:

  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
  • Work with domain experts across teams and perils to enhance our use of available data.
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

Qualifications, Skills and Experience:

  • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
  • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
  • Advanced knowledge of probability theory, statistics, and machine learning methods is required
  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Strong written and verbal communication skills
  • Strong programming skills in Python (preferred), R, and SQL
  • Experience and understanding of relational and non-relational databases preferred
  • Comfort working within git-based version-control environments
  • Experience with Databricks or other cloud-based data and analytics platforms preferred
  • Highly motivated, detail oriented, and team player

BHSI Offers:

  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • Comprehensive Health, Dental and Vision benefits
    • Disability Insurance (both short-term and long-term)
    • Life Insurance (for you and your family)
    • Accidental Death & Dismemberment Insurance (for you and your family)
    • Flexible Spending Accounts
    • Health Reimbursement Account
    • Employee Assistance Program
    • Retirement Savings 401(k) Plan with Company Match
    • Generous holiday and Paid Time Off
    • Tuition Reimbursement
    • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.