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Statistical Engineering Jobs in Indiana (NOW HIRING)

Manufacturing Engineer

Warsaw, IN · On-site

$70K - $90K/yr

... and statistical tools BOM & Router creation and update Ability to read and understand engineering drawings Knowledge of basic quality tools, risk analysis (PFMEA), statistics (SPC), Critical-to ...

Quality Engineer

Franklin, IN · On-site

$67K - $87K/yr

Demonstrated knowledge and understanding of Statistical Process Controls * Basic understanding of engineering and mathematics principles. * Understand interpretation of drawings, specifications ...

Who Should Apply? We're looking for recent grads in Mathematics, Statistics , Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. ...

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 ...

The Plating Engineering Supervisor is the leader of the Plating Process Engineering team in ... Training in Lean manufacturing, Continuous Improvement, Statistical Process Control, and Six Sigma.

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Statistical Engineering information

See Indiana salary details

$58.7K

$68.8K

$76.8K

How much do statistical engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for statistical engineering in Indiana is $68,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $73,500.00 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 Indiana? For Statistical Engineering jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Indiana look for? The top searched job categories for Statistical Engineering jobs in Indiana are:
What cities in Indiana are hiring for Statistical Engineering jobs? Cities in Indiana with the most Statistical Engineering job openings:
Facility Engineer - Manufacturing Engineering, Body

Facility Engineer - Manufacturing Engineering, Body

Subaru of Indiana Automotive, Inc.

Lafayette, IN • On-site

$70K - $90K/yr

Full-time

Posted 3 days ago


Subaru of Indiana Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

35th of 44 rated automakers


Job description

Facility Engineer
Body, Manufacturing Engineering
Position Summary:
The Manufacturing Engineer develops and optimizes productions processes and equipment to achieve the safety, quality, output, and cost goals of the organization. Collects production data and applies engineering principles, scientific and statistical methods to analyze, document, and diagram production processes. A manufacturing engineer is responsible for identifying production problems and likewise identifying methods for resolution. They recommend and implement changes to equipment, work methods and other aspects of production to improve the utilization of all relevant resources.
Outline of Duties:
  • Electrical hardware design: Ability to read and understand equipment electrical schematics and drawings. Must have a strong background designing new electrical controls circuits for automated equipment Including relays, motors, safety circuits, PLCs, and computer Interfaces.
  • Programmable Logic Controller (PLC) and Human Machine Interface (HMI) Programming: Ability to read and troubleshoot PLC logic. Experience modifying and creating PLC programs for equipment control. Experience modifying and creating HMI screens. Background in Industrial networks. Including DeviceNet, TCP/IP, UniWire, etc.
  • Mechanical Systems Design: Ability to read and understand product and equipment mechanical drawings and dimensions. Solid experience troubleshooting, modifying, and specifying mechanical systems. Experience with pneumatic piping and control systems. Exposure to air, water, and hydraulic utilities.
  • Project Management: Demonstrated development and control of project master schedules and budgets. Experience writing project specifications and instructions. Experience managing vendor/team activities during design, fabrication, installation, and integration.
  • Communication/Leadership: Good overall written/oral communication skills, ability to summarize complex technical concepts in written content. Ability to lead groups/teams to complete complex projects.

Minimum Qualifications:
  • Associates Degree plus 1 - 3 years relevant experience or 5 - 7 years relevant experience
    • Engineering Technology or Industrial Engineering, Manufacturing Engineering, or related field
  • 3 years minimum facilities engineering experience in a high production manufacturing environment with exposure to robotics, automated material handling systems, and communication networks.
  • Proficient MS Office skills and MS Project
  • CAD experience with AutoCAD, Solidworks, and/or CATIA
  • Excellent verbal and written communication skills
  • Capability to analyze data and make data driven decisions to resolve quality issues, equipment adjustments, increase throughput, and reduce waste.
  • Safety knowledge and hands on experience countermeasuring safety concerns

Desired Qualifications:
  • 5 years' experience in a high volume automotive Industrial manufacturing environment. Body assembly experience is a plus.
  • BS Mechanical or Electrical Engineering, BS Mechanical or Electrical Engineering Technology, BS Industrial Engineering, BS Industrial Engineering Technology degree or a related field

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.

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