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Artificial Intelligence Data Analyst Jobs in Ohio

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

SCATR - THE DATA CAMOUFLAGE COMPANY™ Born from warfighter requirements and inspired by the animal ... Excellent problem-solving and analytical skills, with a keen eye for detail. * Strong communication ...

Digitalhealthnews

$94.82 - $118.53/hr

You investigate these technologies by application to data and image acquisition, to image ... You excel by the capability to work in a team, by analytical thinking and problem solving skills ...

Booz Allen Hamilton

Signals Data Analyst, Mid

Dayton, OH · On-site

$69K - $158K/yr

Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to close ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

Signals Data Analyst, Mid

Dayton, OH · On-site

$69K - $158K/yr

Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to close ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Artificial Intelligence Data Analyst information

What is an artificial intelligence data analyst?

An Artificial Intelligence Data Analyst is a professional who collects, processes, and interprets large data sets to support the development and improvement of AI systems. They use statistical tools and machine learning techniques to analyze structured and unstructured data, identify trends, and generate insights that inform AI models. Their work often involves data cleaning, annotation, and validation to ensure data quality and accuracy. AI Data Analysts collaborate closely with data scientists, machine learning engineers, and other stakeholders to help organizations leverage data for smarter, automated decision-making.

What are the key skills and qualifications needed to thrive as an artificial intelligence data analyst?

To thrive as an Artificial Intelligence Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Standout candidates possess problem-solving abilities, attention to detail, and effective communication skills for sharing complex insights with stakeholders. These skills and qualities are crucial for extracting actionable insights from large datasets and enabling data-driven decision-making in AI projects.

How does an artificial intelligence data analyst typically collaborate with data scientists and engineers on AI projects?

Artificial Intelligence Data Analysts play a key role in AI projects by preparing, cleaning, and interpreting large datasets that are used to train models. They work closely with data scientists to understand data requirements and help define relevant features, and they partner with engineers to ensure data pipelines are robust and scalable. Regular collaboration involves sharing insights, troubleshooting data issues, and providing feedback to refine model performance. This teamwork ensures that the AI models are both accurate and reliable for the intended business applications.

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The top searched job categories for Artificial Intelligence Data Analyst jobs in Ohio are:

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Artificial Intelligence Data Analyst jobs near you

Associate Artificial Intelligence Engineer

Park Place Technologies

Highland Heights, OH

Full-time

Posted 2 days ago

New

Park Place Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

87th of 225 rated it services

Job description

Associate Artificial Intelligence Engineer

The Associate Artificial Intelligence Engineer is responsible for developing, implementing, and managing AI solutions and machine learning models that provide innovative, data-driven solutions to complex business challenges. This role will involve collaboration within and across multiple departments to build cutting-edge solutions that enhance decision-making capabilities and optimize business performance.

Responsibilities:

  • Understand business requirements, design, develop, and deploy scalable AI applications that aligned with business objectives.
  • Develop high-performing, reusable, and reliable code following industry standards and best practices.
  • Participate in all phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and support.
  • Build pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
  • Collaborate with data analysts, data engineers, software engineers, and business analysts to translate business requirements into technical solutions.
  • Employ Azure DevOps and Git to ensure proper version control and adherence to CI/CD best practices.
  • Troubleshoot, analyze, and resolve AI performance issues and production problems.
  • Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
  • Actively participate in team meetings, contributing ideas and insights to drive continuous improvement.
  • Demonstrate strong problem-solving skills, excellent work ethic, and proactive attitude.
  • Create necessary documentation relating to work produced.

Basic Qualifications:

  • Bachelor’s degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
  • At least 1 year of hands-on experience developing and deploying AI/machine learning solutions.
  • Development experience with Python programming (Spark, pandas, etc.) and SQL.
  • Solid understanding of AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks
  • Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
  • Experience with Visual Studio, Git, and Azure DevOps.
  • Familiarity with software development fundamentals such as SOLID principles, ObjectOriented design, DRY, and Domain Driven Design.
  • Strong communication skills, both written and verbal.

Preferred Qualifications:

  • Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
  • Exposure to Agile methodologies and Test Driven Development (TDD).

Travel:

  • Less than 5%

What Park Place Technologies employees say

Pay

Hours and flexibility

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