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Manager Data Science Civil Engineering Jobs in Virginia

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 ...

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 ...

Partner with Product, Operations, Strategy, and Data Engineering teams to: * Identify and develop ... scientists * Promote best practices in analytics, modeling, and experimentation * Manage and ...

Partner with Product, Operations, Strategy, and Data Engineering teams to: * Identify and develop ... scientists * Promote best practices in analytics, modeling, and experimentation * Manage and ...

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Partner with Product, Operations, Strategy, and Data Engineering teams to: * Identify and develop ... scientists * Promote best practices in analytics, modeling, and experimentation * Manage and ...

Civil Engineering Intern

Radford, VA · On-site

$16.50 - $22/hr

Solve Problems: Assist with grading design, earthwork analyses, and complex stormwater management ... You are currently enrolled in a Bachelor of Science program for Civil Engineering . * Communication:

... management capabilities. * Develop scalable data architectures, metadata enrichment pipelines ... Conduct data exploration, feature engineering, model training, validation, testing, and performance ...

What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams. * Master's Degree or PhD in a quantitative ...

What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams. * Master's Degree or PhD in a quantitative ...

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Manager Data Science Civil Engineering information

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.
What are the most commonly searched types of Data Science Civil Engineering jobs in Virginia? The most popular types of Data Science Civil Engineering jobs in Virginia are:
What are popular job titles related to Manager Data Science Civil Engineering jobs in Virginia? For Manager Data Science Civil Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Manager Data Science Civil Engineering jobs in Virginia look for? The top searched job categories for Manager Data Science Civil Engineering jobs in Virginia are:
What cities in Virginia are hiring for Manager Data Science Civil Engineering jobs? Cities in Virginia with the most Manager Data Science Civil Engineering job openings:
Manager, Data Science

Manager, Data Science

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 14 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Center 1 (19052), United States of America, McLean, VirginiaManager, Data Science

Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA).

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 stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data.

Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.

Translate the complexity of your work into tangible business goals.

Minimum Requirements:

  • Requires a bachelor's or foreign equivalent degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field and 6 years of experience in performing data analytics.

  • In lieu of a bachelor's or foreign equivalent degree in the aforementioned fields and 6 years of experience as stated, employer will accept a master's or foreign equivalent degree in the aforementioned fields or an MBA or foreign equivalent degree in a quantitative concentration and 4 years of experience as stated, or a PhD or foreign equivalent degree in the aforementioned fields and 1 year of experience as stated.

Also requires 1 year of experience in:

  • leveraging open-source programming languages for large-scale data analysis;

  • working with machine learning; and

  • utilizing relational databases.

Must pass company assessment.

Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office.

Experience may be, but need not be, acquired concurrently.

Eligible for Employee Referral Program

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

  • McLean, VA

  • $170,872.00 - $267,900.00 for Manager, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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