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Statistical Engineer Jobs in Ohio (NOW HIRING)

Huntington Ingalls Industries

$85K - $130K/yr

Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware ... Provide statistical expertise to acquisition programs and research projects * Lead development of ...

Aampower

Quality Engineer

Twinsburg, OH

$67K - $87K/yr

The Quality Engineer ensures that products being built and processes being used adhere to all ... Analyzes statistical data and product specifications to determine standards and establish quality ...

Huntington Ingalls Industries

$100K - $130K/yr

Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware ... We are at the forefront of applying advanced statistical methods and are constantly exploring new ...

Gosiger

Manufacturing Quality Engineer

Dayton, OH · On-site

$85K - $100K/yr

... Engineered Systems Division. Evaluates GD&T requirements, tolerance stack-up, and statistical ... Lead statistical capability studies, calculating Cp/Cpk and Pp/Ppk (as required) to validate ...

Adient

Quality Engineer

Greenfield, OH · On-site

$65K - $84K/yr

Summary The Quality Engineer supports daily quality assurance activities, analyzes production data ... Mentor team members on proper statistical application and techniques. * Interface with assigned ...

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Statistical Engineer information

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$31.4K

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$138.3K

How much do statistical engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for statistical engineer in Ohio is $89,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $103,200.00 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 skills in statistical analysis, mathematics, and data interpretation, usually backed by a degree in statistics, engineering, or a related field. Familiarity with statistical software (such as R, SAS, or Python), data visualization tools, and knowledge of quality control systems are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data-driven decision-making and process optimization, which are vital for organizational success.

What are Statistical Engineers?

Statistical Engineers are professionals who apply statistical methods and techniques to solve engineering and production-related problems. They analyze data, design experiments, and develop models to optimize processes, improve product quality, and support decision-making in various industries. Their work often involves collaborating with engineers, scientists, and business teams to interpret data and implement solutions that enhance efficiency and reliability.

What is the salary of a Statistical Engineer?

The average salary of a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often work with statistical software and data analysis tools, and advanced certifications can influence earning potential.

What is the difference between Statistical Engineer vs Data Scientist?

AspectStatistical EngineerData Scientist
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related field; often some programming skillsBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentFocus on developing and optimizing statistical models, often in engineering or manufacturing settingsAnalyze large datasets, build predictive models, and communicate insights across various industries
Employer & Industry UsageUsed in manufacturing, engineering, and technology sectors for process improvementCommon in tech, finance, healthcare, and marketing for data analysis and modeling

While both roles require strong statistical knowledge and programming skills, Statistical Engineers primarily focus on developing and implementing statistical models within engineering contexts. Data Scientists tend to work more broadly on analyzing data, building predictive models, and deriving insights across diverse industries.

What does a Statistical Engineer do?

A Statistical Engineer designs and applies statistical models and data analysis techniques to solve complex problems, often working with large datasets and programming tools like R or Python. They develop algorithms, validate data quality, and collaborate with teams to improve processes and decision-making based on quantitative insights.

Are statisticians highly paid?

Statistical engineers and statisticians are generally well-paid professions, with salaries often above the national average due to their specialized skills in data analysis, modeling, and programming. Compensation varies based on experience, education, industry, and location, with roles requiring proficiency in tools like R, Python, or SAS typically offering higher salaries.

How does a Statistical Engineer typically collaborate with cross-functional teams in a project-driven environment?

Statistical Engineers often work closely with professionals from diverse fields such as data science, software engineering, quality assurance, and business analytics. In a project-driven environment, they are responsible for designing experiments, analyzing large datasets, and interpreting results to inform decision-making. Collaboration usually involves participating in regular meetings, communicating complex statistical findings in an accessible way, and ensuring that analytical methods align with the team's objectives. This cross-functional teamwork not only enhances project outcomes but also helps Statistical Engineers develop broader professional skills and a deeper understanding of the organization's operations.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or software engineering with senior or executive roles can earn $500,000 or more annually. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses or stock options.
What are popular job titles related to Statistical Engineer jobs in Ohio? For Statistical Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Statistical Engineer jobs in Ohio look for? The top searched job categories for Statistical Engineer jobs in Ohio are:
Statistical Engineer jobs near you
Infographic showing various Statistical Engineer job openings in Ohio as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,394 per year, or $43 per hour.
Senior Manager, AI and Decision Science for Product & Formulation Development

Senior Manager, AI and Decision Science for Product & Formulation Development

Lubrizol Corporation

Wickliffe, OH • On-site

Full-time

Posted 18 days ago

Lubrizol rating

8.7

Company rating: 8.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

14th of 92 rated chemical manufacturers

Job description

Shape the Future with Us.
At Lubrizol, we're bringing to life the chemistry behind clean water, efficient transportation, reliable infrastructure, critical medicines, and the products people rely on every day through science, sustainability, and a culture of inclusion.
As part of our global team, you'll be empowered to make a real impact - on your career, your community, and the world around you.
Location: Wickliffe, Ohio
Travel: Moderate (10-15%) within US mainly
Job Type: Full-time | 4 days in office / 1 day flexible
What You Will Do
Lead Digital Transformation for Product Development Q.LIFE® Platform
The Q.LIFE® Engine: A Work of Statistical Engineering: Quality Engineering: Vol 24 , No 2 - Get Access
Accelerating Speed to Market and Sustainability Using Digital Twins | Page 1
  • Own and lead the end-to-end digital and AI transformation strategy for Product Development Q.LIFE® Platform, ensuring it continues to deliver differentiated value to Lubrizol Additives (LZA) and expand footprint to Lubrizol Engineered Materials (LEM) and Lubrizol Surface Sciences (LSS).
  • Provide executive accountability for sustaining and evolving production ML models, ensuring reliability, performance, governance, and business continuity in LZA.
  • Lead digital transformation in product & formulation development in partnership with IT, while maintaining strong alignment with scientific, engineering, and product development needs
  • Establish standards, tooling, and best practices for model development, deployment, monitoring, retraining, and lifecycle management within the enterprise AI ecosystem.
  • Strengthen and extend team capabilities in modern AI platform practices, including MLOps, automation, observability, and continuous improvement.
  • Partner with the Computational Modeling pillar to integrate fundamentals-based modeling, bioinformatics, and cheminformatics capabilities, enabling next-generation Product Development Q.LIFE® Platform models for emerging business demands.
  • Develop and continuously refine a technology roadmap for Product Development Q.LIFE® Platform; build and manage strategic partnerships with internal IT, external vendors/consultants, and universities to accelerate innovation.
  • Act as a senior thought partner to leadership, helping the organization make informed, value-driven decisions about AI investments and priorities.

Lead Culture Change and Team Transformation
  • Drive cultural transformation and change management by fostering a team environment that values curiosity, initiative, innovation, and continuous improvement.
  • Establish project management best practices with expectations, accountability, and performance standards aligned with business impact, ownership, and execution excellence.
  • Drive team growth and overall effectiveness through a capability-building approach that strengthens internal collaboration and engagement across functions, regions, business leaders, and external partners.

Talent & Resource Development:
  • Partner with HR and global stakeholders to ensure alignment on compensation, career development, and succession planning.
  • Support hiring strategies to bring in diverse skills, experiences, and perspectives, complementing and strengthening the existing team.
  • Provide direct people leadership to align team goals, set priorities, and manage project prioritization across the portfolio to ensure effective execution and resource allocation.

Lead Statistics, Data Science, and Enterprise AI Enablement
  • Shape the future of statistics in an AI era: lead the integration of statistical thinking to ensure robust, explainable, and scientifically grounded AI solutions
  • Lead statistics and data science training efforts and coordinate enterprise-wide AI capability building, ensuring consistency, quality, and business relevance.
  • Stay current with the rapidly evolving AI landscape, demonstrating the ability to quickly learn and adapt, filter signal from noise, and translate emerging AI capabilities into practical, scalable, and responsible enterprise use cases
  • Partner with HR, IT, Operations, and business leaders to define role-based AI learning paths, balancing foundational literacy with deep technical expertise where needed.

Skills and Experience That Make a Difference
  • Advanced degree (Ph.D., M.S.) in Engineering, Chemistry, Materials Science, Data Science, Computer Science, Statistics, or related fields.
  • 12+ years of experience in chemical, materials, formulation, or closely related industries, with strong understanding of product development and AI/ML workflows
  • Proven ability to lead major transformations, improve team performance, and promote accountability and results. Skilled at building strong digital teams and communities, encouraging experimentation, customer focus, and ongoing improvement.
  • Experience building and leading cross-functional partnerships with IT, business units, external vendors, and academic institutions.
  • Strong foundation in statistics, engineering, or scientific modeling, with the ability to challenge and validate AI/ML outputs,
  • Excellent communication and influence skills, with the ability to operate effectively at executive, technical, and frontline levels.
  • Proven people leadership of developing high-performing teams that embrace agility, AI insights, and collaborative problem solving
  • Proven experience scaling, sustaining, and modernizing AI/ML systems in production.
  • Strong technical depth across machine learning, MLOps, data platforms, and model lifecycle management, with the ability to engage credibly with senior technical and business stakeholders.

Your Work Environment
This role operates in a hybrid office environment, leveraging digital tools, enterprise data platforms, and collaboration across global teams. You will engage with cross-functional stakeholders, including IT, R&D, and business leaders, to deliver scalable AI-driven solutions in a safe and inclusive environment.
Benefits that Empower You
  • Work in a respected, industry-leading multinational company within Berkshire Hathaway
  • A culture of accountability, empowerment, inclusion, and diversity
  • Competitive compensation and benefits package
  • Opportunities for professional development and global career mobility
  • Meaningful work contributing to sustainable and innovative chemical solutions

#LI-MC1
#LI-Hybrid
#LBZUS
Lubrizol: Imagined for Life. Enabled by Science. ™ Delivered by You.
For nearly 100 years, The Lubrizol Corporation, a Berkshire Hathaway company, has been at the forefront of innovation to enhance everyday life, advance mobility, and make the modern world work better. Our specialty chemistry solutions-from engine oils, performance coatings, and skincare to medical devices and plumbing systems -are powered by the expertise, passion, and commitment of people like you. We tackle the world's toughest challenges with science-based solutions, deeply understanding our customers to deliver innovative chemistry and differentiated value. Our inclusive culture, dedication to safety, and incredible global talent drive our success. Our solutions meet the evolving needs of the modern world-brought to life by science and, most importantly, delivered by you. Whether you're in the lab, on the production floor, or in the office, you'll be part of a team around the world that empowers you to think boldly, drive results, and contribute to solutions that shape a better, more sustainable future. We win because of you. Let's build the future together.

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About Lubrizol

Sourced by ZipRecruiter

The Lubrizol Corporation, a Berkshire Hathaway company, is committed to enabling a sustainable future. Our unmatched science unlocks immense possibilities at the molecular level, driving sustainable and measurable results to help the world Move Cleaner, Create Smarter and Live Better. Our solutions are used by people every day, improving billions of lives around the world.

Industry

Chemical manufacturing

Company size

10,000+ Employees

Headquarters location

Wickliffe, OH, US

Year founded

1928

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