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Manager Data Science Civil Engineering Jobs in Virginia

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 - $21.50/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 ...

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

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

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 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 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:
Senior Manager, Data Science

Senior Manager, Data Science

Carmax

Richmond, VA

Full-time

Posted 4 days ago


CarMax rating

8.0

Company rating: 8.0 out of 10

Based on 366 frontline employees who took The Breakroom Quiz

26th of 713 rated retailers


Job description

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220CarMax, the way your career should be! 
Technical Leadership & Execution
  • Lead the development and enhancement of predictive Customer Progression models
  • Apply advanced data science techniques across the full model lifecycle:
    • Design, training, evaluation, validation, deployment, and monitoring
  • Analyze large-scale, complex datasets (customer, transactional, digital, and third-party data) to generate actionable insights
  • Build deep understanding of CarMax data ecosystems, including data access, processing, and monitoring
  • Design and support controlled experiments (A/B testing) to evaluate new solutions
Cross-Functional Collaboration
  • Partner with Product, Operations, Strategy, and Data Engineering teams to:
    • Identify and develop new use cases for data-driven products
    • Deliver tools that enhance both the customer and associate experience
    • Build scalable data and modeling infrastructure
  • Communicate insights, model outcomes, and opportunities clearly to stakeholders at all levels of the organization
  • Influence business strategy through data-driven recommendations
Team Leadership & Development
  • Lead, mentor, and develop a high-performing team of data scientists
  • Promote best practices in analytics, modeling, and experimentation
  • Manage and prioritize multiple projects in a fast-paced environment
  • Foster both technical and professional growth within the team
QualificationsRequired
  • Advanced degree (Master’s or Ph.D.) in a quantitative field such as:
    • Statistics, Mathematics, Data Science, Computer Science, or Engineering
  • 4+ years of experience in:
    • Python or similar languages for large-scale data analysis
    • Machine learning, statistical modeling, and data mining techniques
    • Working with data lakes, cloud platforms, and relational databases (SQL)
  • Strong analytical mindset with a proven track record of delivering insights and strategic impact
  • Excellent communication skills with the ability to explain complex concepts to both technical and non-technical audiences
  • Demonstrated project management skills and ability to manage competing priorities
  • Experience mentoring or developing team members
Preferred
  • Hands-on experience developing and deploying NLP (Natural Language Processing) solutions, including:
    • Information retrieval and extraction
    • Sentiment analysis
    • Topic modeling
    • Classification and deep learning techniques

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.


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