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Science Engineering Jobs (NOW HIRING)

Waco ISD

Teacher - Science/Engineering

Waco, TX · On-site

$42K - $55K/yr

Job Title: Teacher Wage/Hour Status: Exempt/Contracted Reports To: Principal Pay Grade/Days: Teacher / 187 Dept./School: Assigned Campus Date Revised: June 2008 Primary Purpose: Provide students with ...

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Science Engineering information

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$40.5K

$98.8K

$156.5K

How much do science engineering jobs pay per year?

As of Jul 16, 2026, the average yearly pay for science engineering in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $116,000.00 per year, depending on experience, location, and employer.

How do science engineers typically collaborate with cross-functional teams on research and development projects?

Science engineers often work closely with professionals from various disciplines, such as chemists, physicists, software developers, and project managers, to drive innovation and problem-solving. Collaboration usually involves regular meetings to align on project goals, share research findings, and coordinate technical tasks. Effective communication and teamwork are essential, as science engineers must relay complex concepts in accessible terms and integrate feedback from different perspectives. This collaborative environment not only fosters creative solutions but also provides opportunities for professional growth and learning from peers in related fields.

What is the difference between Science Engineering vs Mechanical Engineering?

AspectScience EngineeringMechanical Engineering
Required CredentialsBachelor's or higher in Science Engineering or related fieldsBachelor's or higher in Mechanical Engineering
Work EnvironmentResearch labs, development centers, academiaManufacturing, design firms, industrial settings
Industry UsageResearch, product development, scientific analysisDesign, testing, manufacturing of mechanical systems

Science Engineering focuses on applying scientific principles to research and development, often in labs or academic settings. Mechanical Engineering emphasizes designing and manufacturing mechanical systems in industrial environments. While both require strong technical skills, their work environments and primary goals differ significantly.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to design, develop, and improve technology, systems, or processes. They work at the intersection of science and engineering, often using their expertise to solve complex technical problems in fields such as materials science, biotechnology, environmental engineering, and more. Science engineers may conduct experiments, analyze data, and collaborate with scientists and other engineers to innovate new solutions. Their work is essential in advancing technology and addressing real-world challenges. Science engineers are found in research institutions, government agencies, and a wide range of industries.

What are the key skills and qualifications needed to thrive as a Science Engineer, and why are they important?

To thrive as a Science Engineer, you need a solid background in mathematics, scientific principles, and engineering fundamentals, typically supported by a relevant bachelor's degree or higher. Familiarity with industry-specific software, laboratory equipment, and certifications such as Professional Engineer (PE) licensure are often required. Strong problem-solving abilities, collaboration, and effective communication skills help Science Engineers excel in team-based environments and complex projects. These skills and qualities are crucial for developing innovative solutions, ensuring safety, and advancing scientific and engineering objectives.
More about Science Engineering jobs
What cities are hiring for Science Engineering jobs? Cities with the most Science Engineering job openings:
What states have the most Science Engineering jobs? States with the most job openings for Science Engineering jobs include:
What job categories do people searching Science Engineering jobs look for? The top searched job categories for Science Engineering jobs are:
Science Engineering jobs near you
Infographic showing various Science Engineering job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.
Sr. Director of Data Science Engineering

Sr. Director of Data Science Engineering

Health Care Service Corporation

Chicago, IL • Hybrid

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryHCSC is recruiting for a leader in our Data Science Engineering function. The team is responsible for the engineering practices that bring AI and machine learning solutions to production at scale, including model deployment, MLOps, monitoring, and reliability. The Senior Director will lead a team of machine learning engineers who partner closely with data scientists, product managers, and IT to operationalize AI/ML solutions that deliver tangible business value.
This role is situated within the Data Science & AI Solutions team at HCSC, the central hub of data science work within the organization. Join our team of driven, fun, and accomplished builders, and help us advance HCSC's mission: to do everything in our power to support our members, in sickness and in health.
Please note, this is a HYBRID position and will require 3 days/week in-office hours at the respective office location.
Job Responsibilities:
Develop and implement strategic plans for the Data Science Engineering function, aligning with the organization's objectives.
Lead a team of machine learning engineers to design, build, and operationalize scalable AI/ML solutions in collaboration with data scientists, product managers, and business stakeholders.
Establish and evolve MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management for both traditional ML and generative AI systems.
Architect and oversee scalable, secure, and reliable infrastructure for model training, inference, and serving on cloud platforms.
Drive engineering best practices include code quality, automated testing, observability, reproducibility, and responsible AI principles.
Partner with IT, platform, and data engineering teams to integrate AI/ML solutions into enterprise systems and workflows.
Ensure policies and procedures align with the corporate vision, regulatory requirements, and industry best practices.
Foster effective communication and collaboration within the team, stakeholders, and management.
Recruit, develop, and evaluate personnel to ensure the efficient operation of the Data Science Engineering team.
Serve as a liaison and support effective communication and strategy between the team and stakeholders.
Oversee the budget and operations of the function, ensuring efficient resource allocation and alignment with goals.

Required Job Qualifications:

Bachelor's degree and 7 years of work experience in a computer science, engineering, or related field OR Master's degree and 6 years of work experience in a computer science, engineering, or related field OR Ph.D. and 4 years of work experience in a computer science, engineering, or related field

  • 4 years management or leadership experience.

  • Learning and growth mindset.

  • Customer-focused.

  • Interpersonal, verbal and written communication skills.

  • Must demonstrate proficiency in at least five and mastery in one of the following six areas:

1) software engineering and version control practices

2) machine learning model development and evaluation

3) MLOps, CI/CD, and model deployment

4) a high-level programming language (e.g., Python)

5) generative and agentic AI

6) understanding of healthcare.

  • Iterative and agile development practices.

  • Independently delivering or leading the delivery of machine learning engineering solutions for multiple complex analytics or data science projects and products.

  • Overseeing the annual budget and allocating resources for various projects and operational needs.

  • Translating needs and initiatives into compelling business cases.

  • Conducting cost-benefit analyses to justify investments and ensure ROI.

Preferred Job Qualifications:

  • Master's degree in a computational field, or Bachelor's degree with significant healthcare experience

  • Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native ML services

  • Experience with containerization (Docker, Kubernetes) and infrastructure-as-code

  • Experience with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Azure ML, Databricks)

  • Experience deploying and operating generative AI / LLM-based solutions, including LLMOps, RAG architectures, and vector databases

  • Experience with model monitoring, drift detection, and responsible AI tooling

LI-HYBRID

LI -AZ1

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$161,500.00 - $299,700.00

Exact compensation may vary based on skills, experience, and location.

Apply