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Machine Learning Quantum Computing Jobs in Ohio (NOW HIRING)

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

... machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries. A Data Analyst should have the ability to work ...

Procter & Gamble

Data AnalystRemote

Mason, OH

... machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries. A Data Analyst should have the ability to work ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... computing, algorithm development, data processing, or related technical domains or 7+ years of ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... computing, algorithm development, data processing, or related technical domains or 7+ years of ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

Proficient in programming languages such as Python and familiar with data science/machine learning ... Experience with large datasets anddeveloping incloud computing platforms such as GCP or Azure ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... computing, algorithm development, data processing, or related technical domains or 7+ years of ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... computing, algorithm development, data processing, or related technical domains or 7+ years of ...

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH

$100K - $138K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... using cloud computing or on-prem technologies * Design and lead development on scalable, high ...

Deloitte

Senior AI Engineer - SFL Scientific

Cleveland, OH

$101K - $139K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... using cloud computing or on-prem technologies * Design and lead development on scalable, high ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH · On-site

$56.50 - $73.25/hr

AI, Machine Learning & MLOps * Build, train, evaluate, and deploy machine learning models using ... Expertise in serverless computing, event streaming (Kafka, Event Hubs), or real-time data ...

Forhyre

OH · On-site

Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision. * Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud.

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Machine Learning Quantum Computing information

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What are popular job titles related to Machine Learning Quantum Computing jobs in Ohio? For Machine Learning Quantum Computing jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Ohio look for? The top searched job categories for Machine Learning Quantum Computing jobs in Ohio are:
What cities in Ohio are hiring for Machine Learning Quantum Computing jobs? Cities in Ohio with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Infographic showing various Machine Learning Quantum Computing job openings in Ohio as of July 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data AnalystRemote

Procter & Gamble Contractor

Mason, OH

Contractor

Posted 18 days ago

Job description

Apply Job no: 5608 Category: Administrative A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.

Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems. Skills and Qualifications Strong analytical and problem-solving skills Proficiency in data analysis tools such as Python, R, SQL, and Excel Knowledge of statistical methods and data modeling Expertise in data cleaning and preprocessing techniques Data visualization proficiency using tools like Tableau or Power BI Strong problem-solving skills for data-related challenges Excellent communication skills to convey complex data insights to non-technical stakeholders Optional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries. A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis.

They play a critical role in uncovering insights that drive effective decision-making and business success. Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant.

DBAs also work to protect databases from unauthorized access and data breaches. Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries P&G's freelancer opportunities are for project-based or other short-term engagements that require specialized skills. Successful candidates for freelancer opportunities will not be considered employees of The Procter & Gamble Company or any of its subsidiaries nor will candidates be eligible for employment benefits.

Candidates looking for regular full-time employment opportunities should begin their search here: pgcareers.com. Published on 24 Jun 2026, 12:39 AM.

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