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Manager Data Science Civil Engineering Jobs in New York

Civil Engineering Intern

Secaucus, NJ · On-site

$18.51 - $34.38/hr

Supports engineers with project data collection, basic engineering calculations, reports ... If a resume or candidate is submitted to any hiring manager without a previously signed agreement ...

Supports engineers with project data collection, basic engineering calculations, reports ... If a resume or candidate is submitted to any hiring manager without a previously signed agreement ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ... Manage and grow a team of data scientists focused on AI/ML product development * Facilitate the ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ... Manage and grow a team of data scientists focused on AI/ML product development * Facilitate the ...

... 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 ...

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

... engineers and expert research teams to produce some of the most innovative and cutting-edge ... We are looking for a Manager, Data & Media Science to join the team and work alongside strategists ...

Showing results 41-60

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 New York?

The most popular types of Data Science Civil Engineering jobs in New York are:

What cities in New York are hiring for Manager Data Science Civil Engineering jobs?

Cities in New York with the most Manager Data Science Civil Engineering job openings:

Curriculum Manager - Data Science and AI

DataCamp

Manhattan, NY • On-site

Other

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.


Job description

Job Description
Job Description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like:

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors.
  • Collaborate with instructors to create engaging content.
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production.
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus.
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation – We offer a competitive salary with attractive benefits.
  • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth – Access to a yearly learning & development budget.
  • Global Culture – Join a team that values international collaboration.
  • Annual Retreats – Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.