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Phd Computer Science Jobs in Ohio (NOW HIRING)

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Applied AI Scientist III

Dayton, OH · On-site +1

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required * Master's or PhD degree preferred * Equivalent years of relevant work ...

Nationwide Children's Hospital

PhD or equivalent degree in relevant field of science, required. Licensure Requirement: (not ... Excellent computer skills. * Skills in qualitative and quantitative research methods. * Ability to ...

EssilorLuxottica

Data Scientist

Mason, OH · On-site

Bachelor's degree in Computer Science, Data Science, Statistics, or related field * Proven ... Master's or PhD in Data Science, Statistics, or related discipline * Experience in applied research ...

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

Master's Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related quantitative fields) and 5+ years professional experience in a data science role or PhD in a ...

Essilor

Data Scientist

Mason, OH · On-site

Bachelor's degree in Computer Science, Data Science, Statistics, or related field * Proven ... Master's or PhD in Data Science, Statistics, or related discipline * Experience in applied research ...

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Phd Computer Science information

See Ohio salary details

$53.7K

$79K

$93.2K

How much do phd computer science jobs pay per year?

As of Jul 16, 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 PhD worth it for CS?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation, but may not be necessary for most industry jobs that prioritize skills and experience. The decision depends on career goals and the value placed on research and academic credentials.

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 the salary of a computer PhD?

A computer science PhD typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience level. Academic roles may have lower salaries, while industry positions in tech companies tend to offer higher compensation, often including bonuses and stock options.

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.

Which CS has the highest salary?

In computer science, roles such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to high demand for expertise in artificial intelligence and data analysis. Senior positions with advanced skills in programming, algorithms, and cloud computing typically command top compensation, especially in tech hubs and large organizations.

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, or 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
Infographic showing various Phd Computer Science job openings in Ohio as of July 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,011 per year, or $38 per hour.
Senior Data Scientist - Predictive Analytics

Senior Data Scientist - Predictive Analytics

Great American Insurance Group

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

54th of 281 rated insurance

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
Join our Predictive Analytics team within the Business Data & Analytics department! opportunity to work within a highly collaborative team of data professionals focused on solving critical business challenges in the insurance industry. The roles emphasize intellectual growth, innovation, and the practical application of cutting-edge AI technologies to drive business value.
Great American Insurance Group is committed to fostering professional growth through exposure to emerging technologies, cross-functional collaboration, and opportunities to contribute to strategic AI initiatives that shape the future of the insurance industry.
This position is located in our Cincinnati office and will work on a hybrid schedule. Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions and Responsibilities
  • Leads the analysis of large, complex datasets to identify advanced trends, patterns, and strategic opportunities
  • Architects and leads the design, development, and deployment of sophisticated predictive models for underwriting, pricing, claims, and customer retention
  • Serves as technical lead for advanced LLM implementations, including custom transformer architectures, advanced fine-tuning strategies, and novel generative AI applications
  • Designs and implements complex RAG and Agentic systems with multi-modal capabilities and advanced reasoning
  • Designs and develops evaluation pipelines to assess the quality and effectiveness of Generative AI outputs
  • Leads Vision Language Model initiatives and advanced computer vision projects using OpenCV and cutting-edge Vision AI technologies
  • Mentors junior data scientists and provides technical guidance on complex modeling projects
  • Drives innovation by exploring new data sources, advanced modeling techniques, and emerging AI technologies
  • Collaborates with senior leadership and cross-functional teams to translate complex business challenges into scalable AI solutions
  • Designs and implements enterprise-level data pipelines and automated reporting tools
  • Establishes model governance frameworks and ensures compliance with regulatory requirements
  • Communicates complex technical concepts and strategic recommendations to C-level executives through compelling presentations
  • Monitors and optimizes model performance across the enterprise and ensures data quality at scale
  • May have responsibility for performance coaching of staff and participatory role in talent selection and development
  • Drives AI strategy and roadmap development for the Predictive Analysis team
  • Performs other duties as assigned

Job Requirements
  • Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Statistics, or related quantitative field required. Master's or PhD in related field strongly preferred.

  • Experience: 5-6 years of progressive experience in data science and machine learning, with at least 2 years leading complex AI/ML projects and mentoring junior team members.

Required Technical Skills:
  • Advanced Generative AI & LLM Leadership: • Expert-level knowledge of Large Language Models and generative AI architectures • Advanced experience with transformer models, attention mechanisms, and custom model development • Proven track record in BERT, GPT, and other foundation model implementations • Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods • Expert-level RAG system design and Agentic RAG implementation • Experience with multi-agent systems and AI orchestration frameworks

  • Advanced Vision AI & Computer Vision: • Expert proficiency in OpenCV and advanced computer vision techniques • Leadership experience with Vision Language Models and multi-modal AI systems • Advanced image processing, object detection, and video analysis • Integration of vision, language, and reasoning capabilities

  • Senior Technical Leadership: • Expert Python programming with deep knowledge of AI/ML ecosystems • Advanced experience with PyTorch, TensorFlow, and HuggingFace transformers • Database optimization and advanced SQL techniques • MLOps and model lifecycle management

  • Cloud & Enterprise Data Platforms: • Advanced Microsoft Azure architecture and AI services • Expert-level Snowflake implementation including: - Advanced Snowflake SQL and performance optimization - Snowflake Cortex AI/ML advanced features and custom implementations - Snowflake Intelligence advanced analytics and semantic search optimization - Snowflake data sharing and marketplace integration • Enterprise data pipeline architecture and governance

  • Leadership & Strategic Competencies: • Advanced statistical modeling and mathematical foundations • Enterprise model deployment and production optimization • Advanced data visualization and executive-level presentation skills • Deep understanding of insurance industry regulations and model governance • Proven leadership and mentoring abilities • Strategic thinking and AI roadmap development • Cross-functional collaboration and stakeholder management

Scope of Job/Qualifications:
Leads complex to large-scale AI/ML projects with enterprise impact. Proven expertise in optimizing advanced models and implementing cutting-edge machine learning solutions. Demonstrates deep understanding of the organization's business and technology operations with ability to drive strategic AI initiatives. Shows comprehensive knowledge of industry trends, regulatory requirements, and emerging technologies in insurance and AI.
Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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