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Statistical Engineering Jobs in Mississippi (NOW HIRING)

Mohr Talent

Quality Engineer

Columbus, MS · On-site

$78 - $125/hr

Develop and maintain sampling plans using recognized statistical methods. * Identify measurable ... Review customer and engineering drawings to identify key characteristics, critical items, and ...

New

USG Corporation

Plant Engineer

Greenville, MS · On-site

Bachelor's degree in Engineering with prior experience as a Project Engineer. * Candidate must demonstrate strong analytical skills, understand data collection, statistics and recognize relationship ...

Southwire Company LLC

Process Engineer II

Starkville, MS · On-site

... Engineering Process Failure Mode And Effects Analysis (PFMEA) Product Quality (QA/QC) Statistical Process Controls Troubleshooting (Problem Solving) Benefits We Offer: * 401k with Matching * Family ...

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Showing results 41-60

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Mississippi

Statistical Engineering information

See Mississippi salary details

$60.6K

$71.1K

$79.4K

How much do statistical engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for statistical engineering in Mississippi is $71,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $75,900.00 per year, depending on experience, location, and employer.

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.

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 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 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.

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 are popular job titles related to Statistical Engineering jobs in Mississippi?

For Statistical Engineering jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Mississippi look for?

The top searched job categories for Statistical Engineering jobs in Mississippi are:

What cities in Mississippi are hiring for Statistical Engineering jobs?

Cities in Mississippi with the most Statistical Engineering job openings:

Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Mississippi as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,118 per year, or $34.2 per hour.

Data Engineer Co-Op

Atlas Roofing Corporation

Meridian, MS • On-site

$21 - $25/hr

Other

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

Atlas Roofing Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Job Title: Data Engineer Co-op
Location: Meridian, MS
Duration: One term Co-op starting in July 2026
Department: Engineering / Operations
Reports To: Nicki Vaughn, Plant Manager
We are seeking a skilled Data Engineer Intern for our Meridian, MS, Web Technologies plant with strong experience in machine learning frameworks, industrial automation, and database technologies. This role will focus on designing, building, and maintaining data pipelines, machine learning solutions, and automation scripts that support analytics, operational efficiency, and system integration-particularly within industrial or manufacturing environments.
Data Engineer Co-op Key Responsibilities
  • Design, develop, and deploy machine learning models to support predictive analytics, classification, and regression use cases.
  • Build and maintain data pipelines that integrate machine learning outputs into operational systems.
  • Develop and maintain Ignition (Inductive Automation) scripts to automate workflows, trigger actions, and integrate data across systems.
  • Work with Ignition modules such as Vision, Perspective, and SQL Bridge to support SCADA and industrial automation solutions.
  • Write, optimize, and maintain complex SQL queries, stored procedures, views, and triggers in MS SQL and Oracle databases.
  • Collaborate with cross-functional teams (engineering, operations, IT) to integrate data and automation solutions into existing infrastructure.
  • Ensure data quality, performance, and reliability across databases and analytics platforms.

Data Engineer Co-op Required Skills & Qualifications
  • Second-semester freshman standing or higher
  • 2 GPA or higher

Machine Learning & Analytics
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Strong understanding of model training, evaluation, and optimization techniques (e.g., cross-validation, hyperparameter tuning).
  • Ability to deploy machine learning models into production environments.

Automation & Ignition
  • Hands-on experience with Ignition (Inductive Automation), including scripting and automation.
  • Proficiency in Ignition scripting using Python (Jython).
  • Experience in integrating Ignition with databases and external systems.

Programming & Databases
  • Strong proficiency in Python for data processing, automation, and machine learning.
  • Experience using R for statistical analysis and data visualization.
  • Advanced SQL skills with MS SQL and Oracle SQL.
  • Solid understanding of relational database design, data modeling, and performance tuning.

Data Engineer Co-op Preferred Qualifications
  • Experience in industrial, manufacturing, or automation-focused environments.
  • Familiarity with SCADA systems and operational technology (OT) data.
  • Experience integrating analytics or machine learning solutions into real-time systems.

What We Offer
  • Opportunity to work on data-driven automation and machine learning solutions.
  • Collaborative, cross-functional work environment
  • Exposure to cutting-edge industrial analytics and automation technologies

Atlas Total Compensation
  • Hourly Wages
  • Second Semester Freshman: $18-19/hr.
  • Sophomore: $19-21/hr.
  • Jr: $20-23/hr.
  • Senior: $21-25/hr.
  • Housing Assistance Provided

Resume Submittal
  • Interested? To submit your resume, scan below.

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