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Manager Data Science Civil Engineering Jobs (NOW HIRING)

OneMain Financial

Manager, Data Science

Wilmington, DE · On-site

Manager, Data Science Location: Wilmington, DE (Hybrid Schedule) OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science ...

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 ...

ADUSA Distribution

Manager Data Science

Salisbury, NC · On-site

Required : • Bachelor's degree in industrial engineering, Operations Research, Supply Chain ... Management, Applied Mathematics, Statistics, Computer Science, or a related quantitative field ...

American Express

Mgr-Data Science

New York, NY

This role sits within Finance Data Science and Analytics, a team focused on developing innovative ... Demonstrated ability to frame business problems into mathematical programming problems, leverage ...

Civil Science

Project Manager - Land Development (PE)

Lehi, UT · On-site

$93K - $121K/yr

This role combines design, project management, and client leadership, giving you the opportunity to ... About Civil Science Civil Science isn't just another engineering firm-we're a 100% employee-owned ...

Rocket

Manager, Data Science

Detroit, MI · On-site

As the Manager of Data Science, you will lead a team of data scientists to solve business problems, shape the Data Science organization's direction, and collaborate with leaders across the company.

Engine

Manager, Data Science

$169K - $235K/yr

Partner with Product, Engineering, and Business teams to translate complex business problems into ... Data Scientist or People Manager). * Technical Mastery: Deep expertise in machine learning ...

Spark Foundry

Manager, Data Science

Manhattan, NY · On-site

The Manager of Data Science will lead advanced audience development and data science solutions to drive client growth, working hands-on with large datasets and collaborating across teams to deliver ...

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate ... managers, engineers, and business leaders. • Build evaluation frameworks to measure LLM ...

Honor

Senior Manager, Data Science

Seattle, WA

We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and ... Your team will work directly with Product, Engineering, and Care Operations to turn difficult ...

Walmart

Senior Manager, Data Science

Bentonville, AR · On-site

Linear Programming, Integer Programming, Quadratic Programming, etc.) To select appropriate ... Data Scientist III, 1: Senior, Data Scientist, 1: Senior Manager, Advanced Analytics. Minimum ...

AIG

Manager Data Science, GenAI

Atlanta, GA

We will incorporate best-in-class engineering and product management principles and your guidance ... We are an applied data science team operating in an agile, production-oriented environment, and we ...

Civil Science

Transportation Project Manager

Lehi, UT · On-site

Civil Science is seeking an experienced Transportation Design Project Manager to support and grow our Utah transportation practice. This opportunity is ideal for a licensed Professional Engineer with ...

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All JobsData Science Civil Engineering JobsManager Data Science Civil Engineering Jobs

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 Jul 28, 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.

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

A Manager in Data Science within civil engineering can potentially earn $500,000 annually, especially with extensive experience, advanced skills, and leadership roles overseeing large projects or teams. Such high salaries are typically found in senior management positions, consulting, or firms working on large-scale infrastructure projects, often requiring specialized certifications and a strong track record. Entry-level or mid-career civil engineers generally earn significantly less than this amount.

What engineers make $300,000 a year?

Senior data science managers and experienced civil engineering managers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High salaries are often associated with roles in large organizations, specialized expertise, or positions requiring advanced certifications and management of complex projects.

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 engineers make $500,000?

Senior data science managers and specialized civil engineering roles with extensive experience and advanced skills can reach salaries of $500,000 or more, especially in high-demand industries or senior leadership positions. Achieving this level often requires advanced degrees, certifications, and a strong track record of project success and leadership. Compensation varies based on location, company size, and individual expertise.

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 additional education or training. Their background in engineering and problem-solving can be advantageous, but they typically need to learn data analysis tools like Python, R, and SQL, and gain experience with data modeling and visualization.
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:
What job categories do people searching Manager Data Science Civil Engineering jobs look for? The top searched job categories for Manager Data Science Civil Engineering jobs are:
Manager Data Science Civil Engineering jobs near you
Infographic showing various Manager Data Science Civil Engineering job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Manager, Data Science

Manager, Data Science

OneMain Financial

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

112th of 150 rated financial services

Job description

Manager, Data Science
Location: Wilmington, DE (Hybrid Schedule)
OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science team.
Successful candidates will be willing to challenge assumptions and bring fresh ideas, own projects from inception to production, and collaborate with internal partners to improve customer experience and drive OneMain's financial performance.
Example projects include building underwriting models for our core personal loans business; evaluating new data sources, technologies, and model-building techniques; and developing algorithmic solutions to automate income verification.
Key qualities include creativity, clarity in communication, ability to strike a balance between speed to market and quality of delivery, and a willingness to seek out or develop new tools and ideas. Bring your individual strengths, knowledge, and interests to bear on the problems we tackle. Propose new ideas. Pursue some of them.
Responsibilities:
  • Identify high impact opportunities where a model or data-related solution can provide large leverage. Then design, build, validate, implement, monitor, and improve that data science solution.
  • Identify new data sources, new technologies, new techniques, and new insights that will create value for our customers and lines of business.
  • Promote best practices for model development and software design.
  • Communicate and collaborate with cross-functional partners.
  • Work with third-party vendor partners to evaluate data and products and integrate those that that show promise into our data science practices and platforms.
  • Develop testing & control procedures to ensure execution accuracy and effective post-implementation monitoring.
  • Independently complete analyses, draw conclusions, and present results to influence business & strategy decisions.
  • Unlock insights from non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, and digital data.

Requirements:
Technical skills
  • Proven experience with data analysis and coding equivalent to 4+ years of experience working as a data scientist
  • Applied experience with a variety of modeling techniques like regression, boosted decision trees, deep learning, NLP, and so forth
  • Strong software development skills covering design, algorithms, optimization, testing, and source control
  • Hands-on experience with building self-contained solutions with clear interfaces
  • Demonstrable mathematical and algorithmic aptitude

Communication
  • Outstanding communication skills with the comfort to interact with all levels with clarity and at an appropriate level of detail
  • Ability to identify and convey the essential information in every communication
  • Ability to understand the business intent behind every project and tell the story around it
  • Willingness to propose and defend ideas

Collaboration
  • Experience working in cross-functional teams across a large, multi-stakeholder organization
  • Ability to work with a high degree of autonomy: can resolve or escalate issues appropriately; can fill in the gaps when requirements are incomplete
  • Ability to work with teams of diverse individuals focused on several disparate projects simultaneously

Risk management mindset
  • Can foresee risks and potential points of failure in a data science system and appropriately mitigate or manage them
    • Anticipate weaknesses in models, software, and systems
    • Use defensive practices to build robust products (e.g. testing, code review)
    • Minimize surface area for failure (develop around clear interfaces, use well-understood tools, minimize external dependencies)
    • Prepare for the unexpected (fail fast with clear error messages, develop failure contingency plans)
    • Understand the importance of monitoring production systems and setting up clear alert systems
  • Appropriately balance the tradeoffs between the use of cutting-edge enterprise systems vs. simple and familiar tooling

Who We Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Paid time off (15 days' vacation per year)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (11 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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