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Manager Data Science Civil Engineering Jobs in Michigan

OneMagnify

Manager, Data Science

Detroit, MI · On-site

You'll work across strategy, media, marketing, and engineering teams to ensure models are not only ... Manage and mentor data scientists and analysts, strengthening both technical expertise and business ...

Rock Connections

Manager, Data Science

Detroit, MI

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to solve complex business problems. You'll play a key role in shaping the direction of the Data Science ...

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.

Deloitte

Manager - Data Science / Data Lake

Detroit, MI · On-site

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 ...

Varsity Tutors

Civil Engineering Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Varsity Tutors

Civil Engineering Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Varsity Tutors

Civil Engineering Tutor

Detroit, MI · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Varsity Tutors

FE - Civil Engineering Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

FE - Civil Engineering Tutor

Detroit, MI · Remote

$18 - $40/hr

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

FE - Civil Engineering Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

WSP

Senior Geotechnical/Civil Engineering

Holland, MI · On-site

$75K - $93K/yr

Develop and manage subsurface investigations and laboratory testing programs. * Conduct ... Interpret and summarize data, including reports and documents that result in sound engineering and ...

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All JobsManager Data Science Civil Engineering JobsManager Data Science Civil Engineering Jobs in Michigan

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

Manager, Data Science

OneMagnify

Detroit, MI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.
Role Summary
As a Manager of Data Science at OneMagnify, you'll lead a team focused on turning complex data into decisions that drive measurable business outcomes. You'll sit at the center of our DAAI Data Science team, connecting client strategy with advanced modeling, machine learning, and modern data platforms. This role owns both the work and the team, setting direction across projects, developing talent, and ensuring what we build is technically sound, deployed, and used to influence real business decisions.
The Impact You'll Have:
You'll shape how leading brands use data science to improve marketing, customer strategy, forecasting, and performance. This role spans a broad range of work, from predictive modeling and optimization to advanced measurement and decision-support solutions. The outputs are not just models, they are tools clients use to make smarter investment, operational, and growth decisions.
This role is central to how OneMagnify delivers integrated solutions. You'll work across strategy, media, marketing, and engineering teams to ensure models are not only technically sound, but deployed into platforms, campaigns, and workflows where they drive measurable results. Because we operate across data, media, and technology, you'll see your work move quickly from model to activation in a way most data science roles do not.
You'll also help standardize how we build and deploy models, establishing approaches for model governance, documentation, and responsible AI that scale across clients and industries.
What you'll do:
Lead Advanced Modeling Solutions
  • Own the design and delivery of machine learning models and statistical solutions that directly inform client decisions
  • Lead a range of analytical approaches, including predictive modeling, forecasting, optimization, segmentation, and measurement frameworks based on client need
  • Ensure outputs are clear, actionable, and tied to measurable business outcomes across marketing, customer, and operational use cases
Translate Business Problems into Scalable Solutions
  • Partner with client and internal strategy teams to define the right analytical approach for each business challenge
  • Turn ambiguous questions into structured modeling frameworks, project plans, and measurable outcomes
  • Align modeling work to business KPIs such as media efficiency, customer acquisition, and revenue growth
Drive Production-Ready Data Science
  • Guide the development of production-grade pipelines using platforms like Databricks and Azure Machine Learning
  • Partner with engineering teams to deploy models into live environments and operational workflows
  • Continuously improve model performance so outputs remain trusted, relevant, and actively used by the business
Lead and Grow a High-Performing Team
  • Manage and mentor data scientists and analysts, strengthening both technical expertise and business acumen
  • Set clear direction across projects while supporting individual development and growth
  • Provide feedback, coaching, and support across multiple initiatives
Collaborate Across Disciplines
  • Work across strategy, media, marketing, and engineering teams to deliver integrated, end-to-end solutions
  • Present complex findings in a way that drives alignment and action across both technical and non-technical stakeholders
  • Bridge the gap between advanced modeling and real-world business execution
Evolve Our Data Science Capability
  • Identify and test new tools, data sources, and modeling approaches that improve how we solve client problems
  • Contribute to standards for model governance, documentation, and responsible AI
  • Help shape how we use platforms like Snowflake and Databricks to scale delivery
What you'll need:
  • 5-7+ years of experience in data science, advanced analytics, or predictive modeling
  • Proven experience leading data science teams, setting technical direction, and delivering complex, high-impact projects
  • Strong programming skills in Python (preferred) or R for modeling and analysis
  • Advanced SQL and experience working in cloud-based environments (Azure, AWS, or similar)
  • Deep understanding of regression, classification, clustering, A/B testing, and audience segmentation
  • Experience building or leading advanced modeling solutions such as predictive models, forecasting, optimization, MMM, MTA, or related decisioning frameworks
  • Hands-on experience with platforms like Databricks, Azure Machine Learning, and/or Snowflake
  • Ability to translate complex analytical outputs into clear, actionable business insights
  • Bachelor's degree in a quantitative field (Master's preferred)
  • Experience in marketing, digital, consulting, or data-driven services environments

Future-Ready Skills (Nice to Have):
  • Deep experience working with complex, multi-source data environments, including MDM concepts and data alignment across systems
  • Experience applying MLOps practices, including model monitoring, feature stores, and end-to-end model lifecycle management
  • Experience working in Martech or Adtech data environments, including CRM analytics, audience segmentation, and campaign measurement
  • Experience working with marketing technology ecosystems such as CRM, CDP, and media platforms
  • Experience working in consulting, digital agency, or marketing services environments with multiple client data ecosystem

Benefits
We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.
We are an equal opportunity employer
We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

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