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Phd Computer Science Jobs in Ohio (NOW HIRING)

Huntington

GenAI Lead Data Scientist

Columbus, OH · On-site

PhD in computer science, statistics, economics or related fields * Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression ...

Huntington

GenAI Lead Data Scientist

Columbus, OH · On-site

PhD in computer science, statistics, economics or related fields Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression ...

Medpace, Inc.

AI Scientist

Cincinnati, OH

PhD in Artificial Intelligence, Computer or Data Science, or related field; * Preferably several years of experience working with different AI capabilities and showcasing your passion both at work ...

Medpace, Inc.

AI Scientist

Cincinnati, OH · On-site

PhD in Artificial Intelligence, Computer or Data Science, or related field; * Preferably several years of experience working with different AI capabilities and showcasing your passion both at work ...

Deloitte

AI and Data Science Engineer III

Cleveland, OH · On-site

$111K - $133K/yr

Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML). * Experience ... Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ...

Deloitte

AI and Data Science Engineer III

Cincinnati, OH

$109K - $131K/yr

Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML). * Experience ... Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ...

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Phd Computer Science information

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How much do phd computer science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for phd 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.

Is a CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Ohio? For Phd Computer Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Ohio look for? The top searched job categories for Phd Computer Science jobs in Ohio are:
What cities in Ohio are hiring for Phd Computer Science jobs? Cities in Ohio with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Senior Data Scientist Engineer - SFL Scientific

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Cincinnati, OH • On-site

Full-time

Posted 24 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading consulting firm that provides strategic and transactional services to clients. They are seeking a Senior Data Scientist to collaborate with clients on designing and developing innovative data science projects and solutions, focusing on AI and machine learning applications.
Responsibilities:
• Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
• Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
• Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
• Validate AI models and algorithm via code reviews, unit, and integration tests
• Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
• Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
• 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
• 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
• 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• 2+ years of experience working in a client-facing, consulting environment
• 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
• 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
• 1+ year of experience with AWS Sagemaker or AWS ML Studio
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 1900, the company is headquartered in Marunouchi, JPN, with a team of 10001+ employees. The company is currently Late Stage.

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