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Manager Data Science Civil Engineering Jobs (NOW HIRING)

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

New

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 ...

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... You will partner closely with product, engineering, operations, and business leaders to identify ...

Manager Data Science Position Overview The Paylocity Data Science team is focused on building ... DevOps, etc.) or GCP (BigQuery, Compute Engine. etc.) • Familiar with cloud-based source code ...

Senior Manager, Data Science

Hayward, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... You will partner closely with product, engineering, operations, and business leaders to identify ...

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 ...

Lead and develop high-performing teams of data scientists, machine learning engineers, researchers ... Exceptional communication and stakeholder-management skills with the ability to influence technical ...

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... You will partner closely with product, engineering, operations, and business leaders to identify ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

Lead and develop high-performing teams of data scientists, machine learning engineers, researchers ... Exceptional communication and stakeholder-management skills with the ability to influence technical ...

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... You will partner closely with product, engineering, operations, and business leaders to identify ...

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Manager Data Science Civil Engineering information

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$31K

$97.1K

$172K

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

As of Jun 21, 2026, the average yearly pay for manager data science civil engineering in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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.

More about Manager Data Science Civil Engineering jobs
What cities are hiring for Manager Data Science Civil Engineering jobs? Cities with the most Manager Data Science Civil Engineering job openings:
What are the most commonly searched types of Data Science Civil Engineering jobs? The most popular types of Data Science Civil Engineering jobs are:
What states have the most Manager Data Science Civil Engineering jobs? States with the most job openings for Manager Data Science Civil Engineering jobs include:
Infographic showing various Manager Data Science Civil Engineering job openings in the United States as of June 2026, with employment types broken down into 35% Full Time, and 65% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Manager, Data Science

Inland Empire Health Plan

Rancho Cucamonga, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Overview

What you can expect! 

Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!

 

The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including Generative AI), leadership experience, health care domain knowledge preferably in the managed care space, and the ability to align AI-driven solutions with business strategy. The Manager, Data Science enables the development of production-grade ML models, building GenAI applications (LLMs, RAG pipelines, prompt engineering, finetuning, multimodal models), and drives measurable business outcomes.

 

Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits

Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance
Key Responsibilities
  • Leadership & Strategy
    • Lead and mentor a team of data scientists, ML engineers, and AI specialists.
    • Define and execute the roadmap for AI/ML and Generative AI initiatives across the enterprise.
    • Partner with business and technology stakeholders to identify AI use cases that create measurable value.
    • Advocate for responsible AI practices, ensuring solutions are ethical, explainable, secure, and compliant.
  • Technical & Delivery
    • Oversee development of advanced ML models and AI systems (predictive, prescriptive, and generative).
    • Design and implement GenAI solutions, including LLM fine-tuning, embeddings, retrieval-augmented generation (RAG), and prompt optimization.
    • Drive end-to-end MLOps practices: model training, evaluation, deployment, monitoring, and lifecycle management.
    • Ensure scalability and performance of AI solutions within enterprise data platforms.
    • Collaborate with data engineering to optimize data pipelines for AI workloads.
  • Innovation & Research
    • Stay at the forefront of GenAI, multimodal AI, and emerging ML techniques to evaluate theirrelevance and application.
    • Foster a culture of experimentation, rapid prototyping, and "fail-fast and pivot" approaches.
  • Hire, train, and manage support staff, while monitoring and evaluating outcomes. Conduct performance reviews of each team Member within IEHP guidelines.
  • Perform any other duties as required to ensure Health Plan operations and department business needs are successful.
  • Qualifications

    Education & Requirement

    Required:

    • At least ten (10) years of experience, which should include a minimum of seven (7) years of experience in data science & ML and at least five (5) years in a leadership/managerial role
    • Proven track record in leading AI/ML projects from conception to production
    • Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps setups
    • Direct experience in Managed Care and Healthcare analytics, including claims data, care management, utilization, risk adjustment, member engagement, or related areas
    • Exposure to multimodal AI (text, image, audio, video) applications
    • Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads
    • Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
      • Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred

    Key Qualifications

    • Familiarity with basic principles of distributed computing and/or distributed databases
    • Knowledge of one or more business/functional areas. Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required
    • Familiarity with data governance, model interpretability, bias mitigation, and AI ethics
    • Strong analysis and critical thinking skills. Excellent communication and interpersonal skills
    • Strong programming skills in Python, PyTorch/TensorFlow, LangChain, Hugging Face, or equivalent framework
    • Ability to manipulate large datasets and using database and general-purpose programming language (R, Python, JavaScript, or other big data frameworks, Java, SQL)
    • Demonstrable ability to quickly understand new concepts all the way down to the theorems, and to come out with original solutions to mathematical issues
    • Ability to multi-task while maintaining careful attention to detail. Ability to handle multiple projects, data input, and strong problem-solving capability. Independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities
    • Expertise in Generative AI (LLMs, transformers, embeddings, vector databases, RAG, fine-tuning, and prompt engineering). Strong business acumen and ability to translate technical solutions into executive-level impact stories.

    Start your journey towards a thriving future with IEHP and apply TODAY!

    Work Model Location

    This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday - Thursday onsite in Rancho Cucamonga, CA.)

    Willingness to be on call occasionally to attend to technical issues outside of normal business hours

    Pay RangeUSD $154,128.00 - USD $204,214.40 /Yr.Employment Type: FULL_TIME