1

Applied Business Computing Jobs (NOW HIRING)

As an ML Applied Scientist, you will support tech leadership by designing and deploying machine ... business goals. • Stay current with advancements in computer science, computing intelligence, and ...

QBID Quantum Computing SME

Arlington, VA · On-site

$220K - $260K/yr

... Applied AI, Biomanufacturing, and more. Your role will involve close interaction with senior DoW ... Prepare briefings, reports, white papers, and other business and technical products in support of ...

New

If you are excited about working in cloud computing and building new AWS services, then we'd love ... Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet ...

... Applied AI, Biomanufacturing, and more. Your role will involve close interaction with senior DoW ... Prepare briefings, reports, white papers, and other business and technical products in support of ...

New

The business is focused on generating value for shoppers as well as advertisers. Our team uses a ... computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux ...

If you are excited about working in cloud computing and building new AWS services, then we'd love ... Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet ...

If you are excited about working in cloud computing and building new AWS services, then we'd love ... Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet ...

next page

Showing results 1-20

Applied Business Computing information

See salary details

$28K

$85.2K

$179K

How much do applied business computing jobs pay per year?

As of May 29, 2026, the average yearly pay for applied business computing in the United States is $85,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $111,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Business Computing professional, and why are they important?

To thrive as an Applied Business Computing professional, you need strong analytical skills, business process understanding, and proficiency in computer science concepts, often supported by a degree in information systems or a related field. Familiarity with enterprise resource planning (ERP) systems, database management, programming languages (such as SQL or Python), and relevant certifications like CompTIA or SAP is highly valuable. Excellent problem-solving, communication, and teamwork skills help bridge the gap between IT and business stakeholders. These skills and qualities are crucial for designing technology solutions that effectively address organizational needs and drive business success.

What types of projects do professionals in Applied Business Computing typically work on, and how do these projects impact the business?

Professionals in Applied Business Computing often collaborate on projects such as developing business intelligence dashboards, streamlining data management systems, and automating business processes. These projects are designed to improve operational efficiency, support data-driven decision-making, and enhance overall business performance. Teamwork is essential, as these roles frequently require close collaboration with business analysts, IT departments, and end users to ensure technology solutions align with organizational goals.

What is applied business computing?

Applied business computing is a field that combines information technology, business processes, and data analysis to improve organizational efficiency and decision-making. Professionals in this area use computing tools and software to solve business problems, automate processes, and support business operations. Careers in applied business computing often involve working with databases, enterprise systems, and business analytics to help companies achieve their strategic goals.

What is the difference between Applied Business Computing vs Business Analyst?

AspectApplied Business ComputingBusiness Analyst
Required CredentialsDiploma or degree in Business Computing, IT, or related fieldsBachelor's degree in Business, IT, or related areas; certifications like CBAP are common
Work EnvironmentIT departments, business units, technology-focused teamsBusiness departments, consulting firms, project teams
Employer & Industry UsageBusinesses implementing computing solutions, tech companiesOrganizations seeking process improvements, software development projects

Applied Business Computing professionals focus on implementing and managing computing solutions within business contexts, often working on technical projects. Business Analysts analyze business needs and recommend solutions, bridging the gap between business and IT. While both roles require understanding of business processes, Applied Business Computing emphasizes technical implementation, whereas Business Analysts concentrate on requirements gathering and process analysis.

More about Applied Business Computing jobs
What job categories do people searching Applied Business Computing jobs look for? The top searched job categories for Applied Business Computing jobs are:
Infographic showing various Applied Business Computing job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 28% Full Time, 15% Part Time, and 54% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $85,178 per year, or $41 per hour.

ML Applied Scientist

SynthBee, Inc.

Pembroke Pines, FL • On-site

Full-time

Posted 3 days ago


Job description

Job Summary:
SynthBee, Inc. is focused on building Collaborative Intelligence™ to maximize the potential of people and computers working together. As an ML Applied Scientist, you will support tech leadership by designing and deploying machine learning models and systems, collaborating with cross-functional teams to drive innovation and enhance products and services.
Responsibilities:
• Contribute as required to the development of SynthBee’s machine learning products.
• Conduct research and experiments to evaluate performance of different machine learning models and techniques to drive SynthBee’s platform strategy, exploring new possibilities and identifying areas of opportunity for impact.
• Work with large, complex datasets, leveraging both structured and unstructured data to drive insights and predictions.
• Generate and evaluate ideas for potential new products and features, using both technical expertise and creative problem-solving skills.
• Assist in the architectural design of systems, working closely with data engineers and software developers to ensure scalability, reliability, and performance.
• Partner with cross-functional teams, including data science, engineering, and product, to align research initiatives with business goals.
• Stay current with advancements in computer science, computing intelligence, and AI broadly, sharing insights with the team and contributing to the continuous improvement of SynthBee’s approaches.
Qualifications:
Required:
• Strong understanding of Machine Learning and Deep Learning fundamentals.
• Strong understanding of recent ML architectures such as transformers and diffusion models, including training and fine-tuning these models.
• Familiarity with architectural design principles for computing intelligence systems, including experience with model training and fine-tuning, model evaluations, and model deployment with scalability considerations.
• Knowledge of research methodologies and ability to critically evaluate existing research and computing intelligence literature.
• Proficiency in programming languages such as Python, C++, or Java, with extensive experience using ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
• Skilled in data processing tools (Pandas, Spark) used in statistical analysis, data wrangling, and feature engineering, with the ability to derive insights from large and complex datasets.
• Proficient in designing and conducting experiments, with a strong understanding of A/B testing and evaluation metrics for computing intelligence model performance.
• Strong coding skills in relevant programming languages, with experience in data visualization and presentation of results.
• Ability to independently design and execute experiments, with a focus on iterative learning and improvement.
• Ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
• Strong problem-solving abilities and a creative approach to tackling open-ended, ambiguous challenges in computing intelligence research.
• Strong organizational skills, with the ability to manage multiple research projects simultaneously and adapt to changing priorities.
Company:
Welcome to SynthBee, Inc. Founded in 2022, the company is headquartered in Hollywood, USA, with a team of 11-50 employees. The company is currently Early Stage.