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Statistical Engineering Jobs in Alabama (NOW HIRING)

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

AI/ML Engineer

Huntsville, AL · On-site

$89K - $157K/yr

As an A/AI Machine Learning Engineer, you will: • Engage with technical users to identify ... statistical analysis, set up experiments, formulate hypothesis and evaluate statistical ...

AI/ML Engineer

Huntsville, AL · On-site

$89K - $157K/yr

As an A/AI Machine Learning Engineer, you will: • Engage with technical users to identify ... statistical analysis, set up experiments, formulate hypothesis and evaluate statistical ...

Apply data-driven analysis and statistical methods to identify root causes and improve risk ... S. Citizenship * Bachelor's Degree in Engineering, Computer Science, or a related field (or ...

Junior Java/C++ Developer

Montgomery, AL · On-site

$66K - $86K/yr

... Statistics , Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey! Preferred ...

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Statistical Engineering information

See Alabama salary details

$57.1K

$67K

$74.8K

How much do statistical engineering jobs pay per year?

As of Jun 26, 2026, the average yearly pay for statistical engineering in Alabama is $67,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $71,500.00 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 are popular job titles related to Statistical Engineering jobs in Alabama? For Statistical Engineering jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Alabama look for? The top searched job categories for Statistical Engineering jobs in Alabama are:
What cities in Alabama are hiring for Statistical Engineering jobs? Cities in Alabama with the most Statistical Engineering job openings:
Engineering Analysts II, Manufacturing Days

Engineering Analysts II, Manufacturing Days

KOHLER

Huntsville, AL

$72K - $96K/yr

Other

Posted 8 days ago


Job description

Location: Onsite - Huntsville, AL
This position will work a 2-2-3 schedule from 7 AM - 7 PM. 

BASIC FUNCTION

This position is located onsite at the Kohler Huntsville, AL manufacturing facility producing Kitchen & Bath compression molded products made of SMC (sheet molded compound).  This position is responsible for engineering projects and manufacturing support for process improvement and quality initiatives on a specific shift in assigned area of responsibility. 

Coordinate process assessment, control, and continuous improvement in the manufacturing area as well as any related support systems assigned, with emphasis on operations management and structured problem solving.  Drive KOS deployment in your area through training and participation in robust process improvement methods, process standardization, and the development of use of quality systems and tools.

 SPECIFIC RESPONSIBILITIES

  • Identify and coordinate quality and process improvement initiatives in assigned department on assigned shift to assure that product, processes, and systems are all being reviewed, assessed, and improved.  Coordinate with other Engineering Project Analysts and shifts to ensure process and project improvements are sustained across all shifts in assigned department.
  • Support daily troubleshooting of concerns in area of assigned responsibility.
  • Update and manage Process Specifications and Tolerances/Deviations permitted for press/mold combinations.
  • Train and Certify Molding Personnel and other designated personnel on Process Specs/Tolerances/Deviations/etc. 
  • Train and Certify Molding Utility and Team Leads on Troubleshooting Processes.
  • Identify targeted improvement projects based on capacity, downtime, yield, and scrap information.  Manage the projects and implementation to achieve desired results.
  • Use and assure the use of yield information, variability reduction, and process control systems.  Mentor and train junior technical and operations personnel.
  • Initiate and coordinate process improvement plans based on quality, cost, delivery, safety, and morale metrics.
  • Apply data driven process improvements using the Kohler 6-Step problem solving methods and any other statistic or non-statistic tools applicable.
  • Assist in equipment selection, workshops, and product/process introduction as needed.
  • Participate and lead KOS workshops in your area as directed.
  • Assist in developing, deploying, and standardizing divisional quality systems. 
  • Participate in the deployment and auditing of all ISO 9000 systems used in manufacturing and support areas.
  • Continuously strive to improve existing manufacturing and support systems to facilitate better performance in areas of quality, cost, delivery, safety, and morale.
  • Conduct training to support the above as necessary. 
  • Perform other duties as assigned.