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Science Engineering Jobs in Atlanta, GA (NOW HIRING)

You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous ...

New

... Science, Engineering any, Technology or related to support full life cycle development including requirements analysis, design, prototyping, coding, unit testing, integration and test. Involve in ...

Bachelor's or Master's Degree in Computer Science, Engineering, or related field. * 7-10 years of progressive software engineering experience * At least 3+ years building and scaling B2B SaaS ...

Bachelor's Degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience. Preferred Education * Master's Degree in Technology, business, or ...

New

Bachelor's or Master's Degree in Computer Science, Engineering, or related field. * 7-10 years of progressive software engineering experience * At least 3+ years building and scaling B2B SaaS ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered ...

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field-or equivalent practical experience. * Experience: * Shipped production AI/ML systems end-to-end (prototype ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field * 5+ years of professional experience * 3+ years of experience designing ...

Generative AI Data Engineer III

Atlanta, GA

$110K - $132K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field * 5+ years of professional experience * 3+ years of experience designing ...

Sr. Software Engineer

Alpharetta, GA · On-site

$118K - $155K/yr

... Science, Engineering any, Technology, Management Information Systems or related and 5 yrs of exp to design, development, implementation and support of software components that enhance or extend to ...

Data Engineer II - AMZ27052.1

Atlanta, GA · On-site

$132K - $178K/yr

Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of experience in the job offered ...

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100K - $138K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

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Science Engineering information

See Atlanta, GA salary details

$38.9K

$95K

$150.5K

How much do science engineering jobs pay per year?

As of Jun 26, 2026, the average yearly pay for science engineering in Atlanta, GA is $94,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $111,600.00 per year, depending on experience, location, and employer.

What jobs can you do with engineering science?

Engineering science graduates can pursue roles such as mechanical engineer, electrical engineer, systems analyst, research scientist, or project engineer. These positions often require strong problem-solving skills, knowledge of engineering principles, and proficiency with tools like CAD software or laboratory equipment.

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 engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership responsibilities or advanced certifications.

What do science engineers do?

Science engineers apply principles from science and engineering to develop new technologies, improve processes, and solve technical problems. They often work in research and development environments, using tools like laboratory equipment and computer modeling, and may require knowledge of specific scientific disciplines and engineering standards.

What engineers make $300,000 a year?

Senior engineers in fields such as petroleum, aerospace, and software engineering can earn $300,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and working in high-demand industries or management positions.

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.
What are popular job titles related to Science Engineering jobs in Atlanta, GA? For Science Engineering jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Science Engineering jobs in Atlanta, GA look for? The top searched job categories for Science Engineering jobs in Atlanta, GA are:
Infographic showing various Science Engineering job openings in Atlanta, GA as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $94,972 per year, or $45.7 per hour.
Data Scientist

Data Scientist

Revenue Analytics

Atlanta, GA • Remote

Full-time

Posted yesterday


Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.