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Phd Computer Science Jobs in Columbus, OH (NOW HIRING)

AI Architect

Westerville, OH ยท On-site

$60.75 - $80/hr

Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 ... Master's degree or PhD in Artificial Intelligence, Machine Learning, Data Science, or related field

AI Architect

Westerville, OH ยท On-site

$60.75 - $80/hr

Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 ... Master's degree or PhD in Artificial Intelligence, Machine Learning, Data Science, or related field

Head of AI

Columbus, OH ยท On-site

Bachelor's degree in computer science, data science, AI, engineering, or a related field required. * Advanced degree (MSc, PhD, or MBA with technology focus) preferred. NICE TO HAVE * Background in ...

... PHD degree in at least one of the following fields of study: Computer and Information Science, Computer Engineering, Computer Management, Computer Science, Engineering, Geography, Geological ...

Showing results 21-40

Phd Computer Science information

See Columbus, OH salary details

$52.8K

$77.7K

$91.6K

How much do phd computer science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for phd computer science in Columbus, OH is $77,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $87,400.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, 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. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

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?

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 jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What cities near Columbus, OH are hiring for Phd Computer Science jobs? Cities near Columbus, OH with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $77,652 per year, or $37.3 per hour.

Applied AI/ML Modeling - Vice President

J.P. Morgan

Columbus, OH โ€ข On-site

Full-time

Medical, Retirement

Re-posted 5 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness.

As an Applied AI Modeling Vice President in Branch Network Modeling team, you will build advanced artificial intelligence (AI) and machine learning (ML) models that directly shape high-stakes decisions impacting Chase's branch network and the bankers who serve our customers. Your models will help optimize our branch network, using geospatial AI and graph-based models to determine where Chase should invest, grow, or reposition its physical footprint, or will empower our bankers in the field to serve our customers using techniques like reinforcement learning and behavioral science.

Job responsibilities

  • Develop and launch AI and ML models that solve complex, ambiguous business problems in Consumer Banking, spanning areas such as retail network optimization, investment optimization, resource allocation, and sales effectiveness. 
  • Lead modeling engagements end-to-end, including interfacing with business, governance, UX, and technology stakeholders; articulating clear business use cases; delivering on project plans; and working with large, complex datasets - including geospatial, demographic, transactional, and behavioral data - to formulate testable business hypotheses. 
  • Translate technical model outputs into clear, actionable recommendations for non-technical business partners in Real Estate, Finance, and Market Strategy. 
  • Partner with governance teams to expedite fair and thorough model reviews, track performance metrics, and maintain adherence to regulatory compliance standards. 

Required qualifications, capabilities, and skills

  • Advanced degree (master's or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related field.
  • 4+ years of hands-on, relevant industry experience in developing and deploying AI/ML models, including statistical modeling, ML, reinforcement learning, or optimization algorithms. 
  • Proficient in Python with hands-on experience in ML and deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab and cloud computing. 
  • Deep expertise in at least one of the following, with meaningful exposure to at least one other: 
    • Geospatial analytics, spatial statistics, or spatial optimization 
    • Graph neural networks, network science, or graph-based optimization 
    • Reinforcement learning, multi-armed bandits, or online/continuous learning 
    • Behavioral modeling, adaptive intervention design, or human performance optimization 

Preferred qualifications, capabilities, and skills

  • Hold a PhD in a relevant discipline.
  • Experience developing advanced AI or ML models in consumer finance, logistics, major retailers, or AI-native platforms. 
  • Experience with at least one of the following: geospatial tools and libraries (e.g., GeoPandas, PySAL, H3, Esri/ArcGIS, Carto, Wherobots, QGIS), graph ML frameworks (e.g., PyTorch Geometric, DGL, NetworkX), RL libraries (e.g., RLlib, Stable Baselines, Vowpal Wabbit). 
  • Familiarity with behavioral science concepts (e.g., nudge theory, decision theory) or experience building adaptive, continuous learning, or recommendation systems. 
  • Experience with Databricks, Snowflake, or similar platforms. 

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.