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Full Time Computer Science Jobs in Ohio (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

Bachelor's degree in a Data Science, Mathematics, Statistics, Analytics, Computer Science, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

Bachelor's degree in a Data Science, Mathematics, Statistics, Analytics, Computer Science, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Scientist

Dayton, OH

$77K - $176K/yr

Bachelor's degree in a Data Science, Mathematics, Statistics, Analytics, Computer Science, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

University of Dayton

Senior Computer Engineer

Dayton, OH · On-site

$101K - $139K/yr

Staff Full Time (1500 hours or greater) Location: Dayton, OH Category: Research Institute Staff ... Computer Science 2. Demonstrated experience developing or maintaining software for autonomously ...

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All JobsComputer Science JobsFull Time Computer Science JobsFull Time Computer Science Jobs in Ohio

Full Time Computer Science information

See Ohio salary details

$53.7K

$79K

$93.2K

How much do full time computer science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for full time computer science in Ohio is $79,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $88,900.00 per year, depending on experience, location, and employer.

What jobs do most CS majors get?

Most computer science majors find employment as software developers, computer programmers, or systems analysts. They often work in roles involving coding, software design, and problem-solving, frequently using programming languages like Java, Python, or C++. Many also pursue positions in cybersecurity, data analysis, or IT support depending on their skills and interests.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-paying industries like finance or technology, can earn $500,000 or more annually, often through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in areas like machine learning or distributed systems, and working at top-tier companies or startups with significant funding.

What does a typical day look like for a full-time computer science professional and how do they collaborate with other teams?

A typical day for a full-time computer science professional often involves a mix of coding, problem-solving, and meetings. You may spend several hours developing, testing, and debugging software, as well as reviewing code written by colleagues. Collaboration is key, as you frequently work with cross-functional teams such as product managers, designers, and quality assurance to ensure that projects meet user requirements and are delivered on time. Clear communication and teamwork are essential, especially when resolving issues or integrating new features. This structure fosters a dynamic environment where learning and adapting to new technologies is encouraged.

Is computer science dead due to AI?

Computer science professionals continue to be in demand as AI advances, with roles involving software development, data analysis, and machine learning. AI tools often require expertise in programming languages, algorithms, and systems design, making foundational computer science skills essential for adapting to technological changes.

What are full time computer science jobs?

Full time computer science jobs are positions where individuals work at least 35-40 hours per week in roles that involve the application of computer science principles. These roles can include software developer, systems analyst, data scientist, cybersecurity specialist, and more. Full time positions often include benefits such as health insurance, paid time off, and retirement plans. They typically require a degree in computer science or a related field, and may involve working for technology companies, financial institutions, research organizations, or government agencies.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software developers, cybersecurity specialists, and data engineers can earn $200,000 or more annually through experience, specialized skills, and certifications like AWS or Cisco. High-paying positions often require strong technical expertise, problem-solving abilities, and continuous learning, even without a formal degree.

What is the difference between Full Time Computer Science vs Software Developer?

AspectFull Time Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldOften similar; degree preferred but not always required
Work EnvironmentAcademic, research, or corporate settingsTech companies, startups, or freelance projects
Industry UsageUniversities, research labs, tech firmsSoftware companies, IT services, app development
Common Search IntentEducational paths, career options in CSJob roles, skills, and project work in software development

Full Time Computer Science typically refers to a degree-focused, academic or research-oriented role requiring formal education. Software Developer roles are more practical, project-based, and often focus on coding and application development. While overlapping in skills and credentials, Full Time Computer Science emphasizes foundational knowledge, whereas Software Developer positions are more about applying that knowledge in real-world projects.

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

To thrive as a Computer Scientist, you need a solid background in algorithms, programming, and mathematics, typically supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and often certifications in areas like cloud computing or data science are commonly required. Analytical thinking, problem-solving, and effective teamwork are soft skills that set individuals apart in this role. These abilities are vital for developing innovative solutions, collaborating on complex projects, and adapting to rapidly evolving technology.
What are the most commonly searched types of Computer Science jobs in Ohio? The most popular types of Computer Science jobs in Ohio are:
What cities in Ohio are hiring for Full Time Computer Science jobs? Cities in Ohio with the most Full Time Computer Science job openings:
Full Time Computer Science jobs near you
Infographic showing various Full Time Computer Science job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $79,011 per year, or $38 per hour.
Senior Data Scientist

Senior Data Scientist

Crown Equipment Corporation

New Bremen, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Crown Equipment Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 253 frontline employees who took The Breakroom Quiz

150th of 430 rated machine equipment manufacturers

Job description

Company Description:

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Job Posting External

Primary Responsibilities

  • Build and maintain scalable data science pipelines and workflows using modern tools and frameworks.
  • Implement MLOps practices to ensure model reproducibility, monitoring, and lifecycle management.
  • Collaborate with data engineering teams to ensure data quality, accessibility, and pipeline reliability.
  • Deploy models into production environments and monitor performance over time.
  • Develop and maintain code libraries, documentation, and best practices for data science work.
  • Identify high-value opportunities where advanced analytics can drive business outcomes.
  • Evaluate and recommend new tools, technologies, and approaches to enhance data science capabilities.
  • Lead proof-of-concept initiatives to demonstrate the value of innovative analytical approaches.
  • Establish standards and frameworks for data science work across the organization
  • Design, develop, and deploy predictive and prescriptive models to address key business challenges in manufacturing, supply chain, quality, and operations.
  • Build machine learning models for demand forecasting, production optimization, predictive maintenance, quality prediction, and yield improvement.
  • Develop statistical models to identify root causes of process variations, defects, and operational inefficiencies.
  • Create optimization algorithms for resource allocation, production scheduling, and inventory management.
  • Apply natural language processing and computer vision techniques where applicable to manufacturing use cases.
  • Conduct A/B testing and experimental design to validate hypotheses and measure impact of interventions.
  • Partner with business stakeholders across manufacturing, operations, supply chain, quality, and maintenance to understand requirements and pain points.
  • Work closely with data engineers, analysts, and IT teams to integrate data science solutions into business processes.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field, along with at least 5 years of experience
    • Non-degree considered if 12+ years of related experience along with a high school diploma or GED

Preferred Qualifications

  • 6 years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization.
  • Experience leading projects that apply ML and data science to business functions.
  • Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS.
  • Knowledge of statistical and data mining techniques such as GLM/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, CNN, RNN.
  • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models.
  • MS in quantitative discipline (Computer Science, Data Science, Statistics or related fields).
  • Knowledge of Six Sigma, Lean Manufacturing, or related process improvement methodologies.
  • Experience with predictive maintenance, quality analytics, or process optimization in manufacturing.
  • Familiarity with IIoT platforms and edge computing.
  • Experience with computer vision applications for quality inspection or process monitoring.
  • Publications or presentations at data science conferences or in peer-reviewed journals.
  • Certifications in cloud platforms (Azure, AWS) or data science specializations.

Work Authorization:

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.


No agency calls please.

Compensation and Benefits:

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

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What Crown Equipment Corporation employees say

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About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

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