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Statistical Engineering Jobs in Ohio (NOW HIRING)

Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field or equivalent combination of education, related experience and ...

Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field or equivalent combination of education, related experience and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

New

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

New

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

New

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

New

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

New

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Statistical Engineering information

See Ohio salary details

$57.4K

$67.3K

$75.1K

How much do statistical engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for statistical engineering in Ohio is $67,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $71,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What job categories do people searching Statistical Engineering jobs in Ohio look for? The top searched job categories for Statistical Engineering jobs in Ohio are:
What cities in Ohio are hiring for Statistical Engineering jobs? Cities in Ohio with the most Statistical Engineering job openings:
Mathematical Statistics Series

$63K/yr

Other

Posted 29 days ago


Job description

Click on "Learn more about this agency" button below for IMPORTANT additional information.
This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection.Qualifications:In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Professional and Scientific Positions and the Individual Occupational Requirement (IOR) for the GS-1529 Series.
BASIC REQUIREMENTS FOR ALL GRADE LEVELS:
Bachelor's degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as show above, plus appropriate experience or additional education.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
SPECIALIZED EXPERIENCE:
GS-11:
Applicants must have at least one (1) year of specialized experience at the next lower grade GS-09, or equivalent in other pay systems. Examples of specialized experience includes mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out conventional scientific process. Experience in related disciplines to design, develop and adapt scientific methods and techniques.
OR
EDUCATION:
3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. NOTE: You must submit copy of official transcripts.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience may be used to qualify for this position as long as the computed percentage of the requirements is at least 100 percent. NOTE: You must submit a copy of official transcripts.
GS-12: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-11, or equivalent in other pay systems. Examples of specialized experience include space surveillance systems substantially similar in functionality, relevant mathematical and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work statements and development plans, cost evaluations, etc.
GS-13: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-12, or equivalent in other pay systems. Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more specialized areas of operation and cyber related theories, atmospheric density modeling, simulation and software systems to conduct complex original studies and apply research findings to broad studies of an unprecedented nature.
GS-14: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-13, or equivalent in other pay systems. Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more specialized areas of operation and cyber related theories, atmospheric density modeling, simulation and software systems to conduct complex original studies and apply research findings to broad studies of an unprecedented nature, skill in coordinating extensive projects in assigned areas of engineering principals, knowledge of regulations and mission and strategic objectives.
GS-15 Applicants must have at least one (1) year of specialized experience at the next lower grade GS-14, or equivalent in other pay systems. Examples of specialized experience include space surveillance network, space operational processes and procedures, orbital mechanics, applied physics and mathematics, applying and using mathematical and simulation models to verify and validate space systems. Broad management principles associated with directing highly skilled technical personnel and combining in house and external resources for complex analytical and technical projects.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
1. Knowledge or mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes, knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques.
2. Knowledge in space surveillance systems substantially similar in functionality in order to design, test or upgrade software, knowledge of administrative aspects of task engineering and management.
3.Skill in broad areas of classical and modern higher mathematics to originate and develop mathematical models in cyber systems.
4. Knowledge of mathematics and physics for own independent research in antennas and propagation, electromagnetic systems concepts involving microwave antennas, radar, communications and RF sensor technology.
5. Knowledge of of safety and security regulations, practices and procedures, space surveillance network, space operational processes and procedures.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER