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Internship Data Science Civil Engineering Jobs in El Segundo, CA

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ...

Omnicom

Director, Data Science

Los Angeles, CA · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... programming language skills (SQL, Python, R, etc) Experienced in machine learning techniques ...

Omnicom

Director, Data Science

Los Angeles, CA · Hybrid

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... programming language skills (SQL, Python, R, etc) Experienced in machine learning techniques ...

ServiceTitan

Director, Data Science

Glendale, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

You'll partner with operations, finance, product, and engineering leadership to turn complex data ... Own the data science and applied AI roadmap for operations-agentic systems, forecasting, lead ...

Sherwood Design Engineers

Civil Engineer I

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Typically industry internship experience * Bachelor's degree in Engineering - Civil and/or ... Data Collection and Processing * Numerical Computations in the field of Civil Engineering ...

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Sherwood Design Engineers

Civil Engineer I

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Typically industry internship experience * Bachelor's degree in Engineering - Civil and/or ... Data Collection and Processing * Numerical Computations in the field of Civil Engineering ...

City of Carson

Associate Civil Engineer

Carson, CA

$113K - $145K/yr

  • Medical

  • Retirement

Ideally, you will bring five (5) years of professional civil engineering experience and hold a Bachelor of Science (BS) degree in civil engineering from a recognized college or university. We are ...

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Showing results 21-40

All JobsData Science Civil Engineering JobsInternship Data Science Civil Engineering JobsInternship Data Science Civil Engineering Jobs in El Segundo, CA

Internship Data Science Civil Engineering information

See El Segundo, CA salary details

$14

$21

$28

How much do internship data science civil engineering jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship data science civil engineering in El Segundo, CA is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $23.32 per hour, depending on experience, location, and employer.

What is an internship data science civil engineering role?

Internship data science roles in civil engineering involve using data analysis, machine learning, and statistical methods to solve problems in areas like construction, transportation, and infrastructure. Interns may work with large datasets from sensors, surveys, or simulations to help civil engineers make better decisions about design, safety, and efficiency. These roles often require knowledge of programming languages like Python or R, as well as an understanding of civil engineering principles. Interns gain practical experience by working on real-world projects, often supporting tasks such as predictive modeling, data visualization, and report generation.

What skills and qualifications are needed for an internship data science civil engineering?

To thrive as an intern in Data Science for Civil Engineering, you need a foundational understanding of civil engineering principles, basic statistics, and data analysis, often supported by ongoing or completed coursework in civil engineering or data science. Familiarity with programming languages like Python or R, knowledge of data visualization tools, and experience with software such as MATLAB or AutoCAD are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are essential for leveraging data-driven insights to solve engineering challenges and support project decision-making.

What types of projects can I expect to work on during an internship data science civil engineering?

As a Data Science intern in Civil Engineering, you may be involved in projects such as analyzing structural health monitoring data, optimizing transportation systems using predictive modeling, or automating data collection from construction sites. Interns often collaborate with engineers and data professionals to interpret large datasets, develop machine learning models, and create visualizations that support infrastructure planning and decision-making. The work environment is typically interdisciplinary, giving you valuable exposure to both technical data science tools and practical civil engineering applications.

What is the difference between Internship Data Science Civil Engineering vs Civil Engineering Intern?

AspectInternship Data Science Civil EngineeringCivil Engineering Intern
Required CredentialsBasic knowledge of data science, programming, civil engineering fundamentalsEnrolled in civil engineering degree, basic engineering coursework
Work EnvironmentData analysis, modeling, software tools, field visitsSite visits, design work, construction supervision
Employer & Industry UsageEngineering firms, government agencies, construction companiesConstruction firms, consulting agencies, government departments
Common Search & ComparisonInternship Data Science Civil EngineeringCivil Engineering Intern

The Internship Data Science Civil Engineering focuses on applying data analysis and modeling within civil engineering projects, often involving software tools and data-driven decision making. In contrast, a Civil Engineering Intern typically engages in site visits, design tasks, and construction supervision. Both roles serve as entry points into the civil engineering industry but emphasize different skill sets and work environments.

What job categories do people searching Internship Data Science Civil Engineering jobs in El Segundo, CA look for?

The top searched job categories for Internship Data Science Civil Engineering jobs in El Segundo, CA are:

What cities near El Segundo, CA are hiring for Internship Data Science Civil Engineering jobs?

Cities near El Segundo, CA with the most Internship Data Science Civil Engineering job openings:

Internship Data Science Civil Engineering jobs near you
Infographic showing various Internship Data Science Civil Engineering job openings in El Segundo, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,979 per year, or $21.1 per hour.

Data Science Manager

Tatari

Los Angeles, CA • On-site

$160K - $220K/yr

Other

Medical, Retirement, PTO

Re-posted 20 days ago

Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we're looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You'll play a central role in shaping how AI shows up in our product and how the team behind it grows.
Responsibilities:
  • Manage and grow a team of data scientists focused on AI/ML product development
  • Facilitate the team's design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities
  • Empower the team to innovate and explore new methodologies and improve upon existing algorithms
  • Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features
  • Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery
  • Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload
  • Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery
  • Assess and mitigate risks to delivery, owning accountability for downstream business impacts
  • Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value
  • Develop lightweight but effective team processes to support fast iteration and scalable AI delivery
  • Conduct performance reviews, coach team members, and support career growth planning for direct reports
  • Contribute to hiring and onboarding efforts for the team

Qualifications:
  • Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
  • Minimum 2 years of management experience, plus minimum of 6 years of experience in a Data Science role, or a related role in a technology environment
  • Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders
  • Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis
  • Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science
  • Proven ability to lead through ambiguity and move from 0 1 with new features or systems
  • Advanced knowledge of statistics and probability, particularly their application in model development
  • Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits
  • Nice to have:
    • PhD in a technical field
    • Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems - with a successful track record of end-to-end implementation.
    • TV Media Industry or Ad Tech experience a plus

Benefits:
  • Competitive salary ($160,000 - $220,000/annually)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 WFH reimbursement
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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