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Manager Data Science Civil Engineering Jobs in Boston, MA

CarGurus

Manager, Data Science

Boston, MA

Role overview The Manager, Data Science will lead an Inventory & Dealer Data Science team focused ... The Manager partners with Product, Engineering, Analytics, and cross-functional stakeholders to ...

CarGurus

Manager, Data Science

Boston, MA · On-site

We started as a small team of developers determined to bring trust and transparency to car shopping ... Role overview The Manager, Data Science will lead an Inventory & Dealer Data Science team focused ...

Td

Senior Manager, Data Science - FCRM Modeling

Boston, MA · On-site

$123K - $201K/yr

Proficiency in Python, SQL, or equivalent programming languages. * Experience in financial crimes ... Manages workload of data science team; assigning data request to staff based on skills and ...

Magna

Manager Data Analytics & Engineering

Lowell, MA

$105K - $196K/yr

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data ... This role will lead a team of data engineers, data scientists, and analysts responsible for ...

Magna

Manager Data Analytics & Engineering

Lowell, MA · On-site

$105K - $196K/yr

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data ... This role will lead a team of data engineers, data scientists, and analysts responsible for ...

CookUnity

Director, Data Science/ML

Boston, MA

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

Varsity Tutors

Civil Engineering Tutor

Lowell, MA · 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

Waltham, MA · 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

Quincy, MA · 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

Lynn, MA · 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

Somerville, MA · 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 ...

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All JobsData Science Civil Engineering JobsManager Data Science Civil Engineering JobsManager Data Science Civil Engineering Jobs in Boston, MA

Manager Data Science Civil Engineering information

See Boston, MA salary details

$33.7K

$105.5K

$186.9K

How much do manager data science civil engineering jobs pay per year?

As of Jul 26, 2026, the average yearly pay for manager data science civil engineering in Boston, MA is $105,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,700.00 and $136,300.00 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.
What are the most commonly searched types of Data Science Civil Engineering jobs in Boston, MA? The most popular types of Data Science Civil Engineering jobs in Boston, MA are:
What are popular job titles related to Manager Data Science Civil Engineering jobs in Boston, MA? For Manager Data Science Civil Engineering jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Manager Data Science Civil Engineering jobs in Boston, MA look for? The top searched job categories for Manager Data Science Civil Engineering jobs in Boston, MA are:
Manager Data Science Civil Engineering jobs near you
Infographic showing various Manager Data Science Civil Engineering job openings in Boston, MA as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $105,538 per year, or $50.7 per hour.
Manager, Data Science

Manager, Data Science

CarGurus

Boston, MA

Other

Posted 19 days ago

Job description

Role overview

The Manager, Data Science will lead an Inventory & Dealer Data Science team focused on developing, deploying, and optimizing machine learning models that power CarGurus' products and business insights. Sitting within the broader Data Science organization, this team is responsible for modeling automotive marketplace dynamics and dealer behavior. The team owns Machine Learning solutions end-to-end across the ML lifecycle, from R&D to production. This leader is accountable for the team's strategic direction and impactful delivery, while building a culture of innovation, technical excellence, and collaboration. The Manager partners with Product, Engineering, Analytics, and cross-functional stakeholders to ensure team efforts advance CarGurus' goals in intelligence-powered products.

What you'll do

  • Oversee the development, training, and evaluation of machine learning models covering Inventory and Dealer intelligence. Leverage modeling techniques including recommendations, demand forecasting, churn risk prediction, and valuation algorithms.
  • Facilitate experimentation, A/B testing, and measurement of production models, ensuring robust evaluation of business impact
  • Build and develop a high-performing team - providing regular coaching, feedback, and performance assessments; ensure equitable access to growth opportunities.
  • Drive innovation, continuous improvement, and adoption of best-in-class ML and AI practices. Champion best practices across the organization.
  • Participate in roadmap planning, aligning the team's work with broader business priorities and long-term strategy. Flag resource constraints and escalate tradeoff decisions when needed.
  • Act as a visible, accessible leader - communicating objectives, updates, risks, and wins to all stakeholders.
  • Partner with peers in the Machine Learning Platform, Product and Data teams, and other stakeholders to facilitate effective cross-team working relationships and represent data science in cross-functional forums.

What you'll bring

  • 5+ years of experience in a data science or machine learning engineering role
  • 2+ years of people leadership experience
  • Deep expertise in machine learning models and their application to classification, regression, ranking, and recommendation problems. Familiarity with standard evaluation metrics and statistical best practices.
  • Experience deploying and owning models in production and a working understanding of MLOps practices.
  • Strong working knowledge of Python development best practices and the Python ML ecosystem (e.g., scikit-learn, PyTorch, XGBoost, numpy, pandas).
  • Experience with cloud platforms, particularly AWS, including deploying, monitoring, and troubleshooting ML models.
  • Effective communication and facilitation abilities with both technical and non-technical stakeholders (including data scientists, product management, senior leadership, and engineers).
  • Experience contributing to the technical direction for a team and a strategic mindset for prioritizing projects and aligning them with business goals.
  • Knowledge of standard software development methodologies and a history of driving continuous improvement.
  • Experience in a collaborative, cross-functional environment, with the ability to build effective working relationships and foster an inclusive team culture.

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