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Geospatial Ai Jobs in Ohio (NOW HIRING)

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogram met ry ... Experience with AI-assisted sof tware development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or ... Experience with AI-assisted software development tools and practices such as code copilots ...

$120 - $180/hr

Bonus points for experience in power engineering, renewables, grid infrastructure, geospatial data, scraping, document AI, or large-scale data pipelines. High ownership, very little bureaucracy, and ...

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Showing results 1-20

Geospatial Ai information

What are the key skills and qualifications needed to thrive as a geospatial AI specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

How do geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.
What are popular job titles related to Geospatial Ai jobs in Ohio? For Geospatial Ai jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Geospatial Ai jobs in Ohio look for? The top searched job categories for Geospatial Ai jobs in Ohio are:
What cities in Ohio are hiring for Geospatial Ai jobs? Cities in Ohio with the most Geospatial Ai job openings:
Infographic showing various Geospatial Ai job openings in Ohio as of August 2026, with employment types broken down into 78% Full Time, 16% Part Time, and 6% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Applied AI/ML Modeling - Vice President

J.P. Morgan

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 6 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.