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Master Science Jobs in Ohio (NOW HIRING)

DataAnnotation

Data Science Consultant

Cincinnati, OH · On-site +1

$40/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.Relevant credentials are a plus (e.g ...

Mansfield City Schools

Science Teacher

Mansfield, OH · On-site

$45.60K - $58.90K/yr

There is a Science Teacher position at Mansfield Senior High School for the 2026-2027 school year ... Master of the Subject Matter: an excellent teacher is the master of subject matter. Teachers ...

ATS Automation

$57K - $75.20K/yr

Master's degree in a scientific field or equivalent experience * Interest in MES/ERP systems and their interfaces / affinity with computer systems * Strong analytical skills with insight into ...

Natera

Medical Science Liaison

Columbus, OH

$150K - $175K/yr

GC with Master's and board certification required. * Professionals with relevant clinical sciences knowledge in nephrology preferred. * Prior MSL experience preferred. * Living within 30 min of an ...

Natera

Medical Science Liaison

Cincinnati, OH

$150K - $175K/yr

GC with Master's and board certification required. * Professionals with relevant clinical sciences knowledge in nephrology preferred. * Prior MSL experience preferred. * Living within 30 min of an ...

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How much do master science jobs pay per hour?

As of May 29, 2026, the average hourly pay for master science in Ohio is $55.16, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $62.84 per hour, depending on experience, location, and employer.

What is a Master Science job?

A Master Science job typically refers to a position requiring an advanced degree (Master of Science, or MSc) in a specific scientific discipline. These jobs span various fields such as engineering, healthcare, data science, and research. Holders of an MSc often work in specialized roles involving research, analysis, technical development, or teaching. Their expertise allows them to contribute to innovation, problem-solving, and advancements in their respective fields.

What are the key skills and qualifications needed to thrive as a Master of Science graduate, and why are they important?

To thrive as a Master of Science graduate, you need advanced analytical skills, subject-specific expertise, and a relevant master's degree in your chosen field. Familiarity with specialized software, laboratory equipment, or data analysis tools—such as MATLAB, SPSS, or GIS—may be required depending on your discipline. Strong problem-solving abilities, critical thinking, and effective communication set exceptional candidates apart. These skills and qualifications are vital for tackling complex challenges, producing high-quality research, and contributing meaningfully to scientific or technical advancements.

What are some common challenges faced by Master Science professionals when managing interdisciplinary research projects?

Professionals in Master Science roles often oversee complex projects that require collaboration across multiple scientific disciplines. A common challenge is ensuring effective communication among team members who may have different technical backgrounds and terminologies. Additionally, balancing project timelines and coordinating data integration from various sources can be demanding. Master Science professionals must also stay updated on advances in their field to effectively guide research direction and maintain project relevancy.

What are Master of Science degrees?

A Master of Science (MS or MSc) is a postgraduate academic degree awarded in fields related to science, technology, engineering, mathematics, and some social sciences. These programs typically focus on scientific, analytical, or technical subjects and emphasize research, practical skills, and theoretical knowledge. Earning an MS degree usually takes one to two years of full-time study after a bachelor's degree. Graduates often pursue careers in research, industry, or continue their education with a doctoral program.

What is the difference between Master Science vs Bachelor Science?

AspectMaster ScienceBachelor Science
Required CredentialsMaster's degree in scienceBachelor's degree in science
Work EnvironmentResearch labs, academia, industryEntry-level roles, internships, support positions
Employer & Industry UsageAdvanced research, specialized rolesFoundational roles, general positions
Common Search & ComparisonHigher qualification, specializationEntry-level, undergraduate

The main difference between Master Science and Bachelor Science lies in the level of education and expertise. A Master Science degree provides advanced knowledge and qualifies individuals for specialized roles in research and industry, while a Bachelor Science degree is typically the foundational qualification for entry-level positions. Both degrees are used across similar work environments, but the Master Science opens doors to more advanced opportunities.

More about Master Science jobs
What are the most commonly searched types of Master Science jobs in Ohio? The most popular types of Master Science jobs in Ohio are:
What are popular job titles related to Master Science jobs in Ohio? For Master Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Master Science jobs in Ohio look for? The top searched job categories for Master Science jobs in Ohio are:
What cities in Ohio are hiring for Master Science jobs? Cities in Ohio with the most Master Science job openings:
Master Science jobs near you
Infographic showing various Master Science job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,737 per year, or $55.2 per hour.
Data Science Consultant

Data Science Consultant

DataAnnotation

Cincinnati, OH • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.That's where you come in.As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus.To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.Flexible schedule: choose which projects you take on and when you work.Competitive pay: projects are paid hourly, starting at $40+ USD per hour.Impact: help shape the future of AI systems built to reason about data and analytics.ResponsibilitiesEvaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.Write clear technical explanations and well-documented analytical code.Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.Qualifications2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.Some coding experience required, with comfort writing and reviewing analytical code end-to-end.Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).Fluency in English (native or bilingual level) with strong writing skills.A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).Note: Payment is made via PayPal. We will never ask for any money from you.

This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.datascienceJ-18808-Ljbffr

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