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Manager Data Science Civil Engineering Jobs in California

Whatnot

Manager, Data Science

Los Angeles, CA · On-site

They are seeking a Manager, Data Science to lead a high-impact team focused on core marketplace ... Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams on complex ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape ... You have experience managing and developing data scientists or analysts and know how to set a high ...

SoFi

Senior Manager, Data Science

San Francisco, CA · On-site

This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data ...

Walmart

Senior Manager, Data Science

San Bruno, CA · On-site

$80.25 - $107.50/hr

This Senior Manager-level role is a strategic technical leader within Walmart's eCommerce Analytics Platform & Engineering team. This Senior Manager, Data Scientist will drive the vision ...

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

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

Manager, Data Science

Inland Empire Health Plan

Rancho Cucamonga, CA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 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

    Apply