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Statistical Engineering Jobs in Austin, TX (NOW HIRING)

Apple Inc.

AIML Data Engineer

Austin, TX · On-site

$120 - $160/hr

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field (or equivalent experience) * 4+ years of experience in data engineering or analytics engineering

New

QuantumClean

Process Engineering Manager

Manor, TX

Understands and will lead advanced statistical analysis/SPC. * Schedules and tracks engineering projects/quotes to ensure timely completion. * Liaises with personnel in the customer service function ...

Apple

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

... Engineering or an equivalent field desired with 5+ years of experience. Proficiency in statistical life data analysis Strong knowledge of Semiconductor package integration, SLI reliability, passive ...

Noveon

Process Engineering Intern

San Marcos, TX · On-site

Process Engineering Intern - Parts Reports to: Process Engineering Manager Location: San Marcos ... Statistical Process Control (SPC) initiatives. • Automated Inspection Support: Assisting ...

Charles Schwab

Senior Data Scientist

Austin, TX · On-site

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field * 8+ years of experience in Data Science, Machine Learning, Artificial ...

TECO-Westinghouse

Quality Engineer II

Round Rock, TX · On-site

$67K - $86K/yr

Proficiency with PC-based tools used to prepare procedures and instructions, develop descriptive statistics, and access business and engineering systems. * Experience with: * Root Cause Analysis

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Austin, TX

Statistical Engineering information

See Austin, TX salary details

$60.1K

$70.5K

$78.6K

How much do statistical engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for statistical engineering in Austin, TX is $70,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $75,200.00 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 Austin, TX?

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

What job categories do people searching Statistical Engineering jobs in Austin, TX look for?

The top searched job categories for Statistical Engineering jobs in Austin, TX are:

What cities near Austin, TX are hiring for Statistical Engineering jobs?

Cities near Austin, TX with the most Statistical Engineering job openings:

Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Austin, TX as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $70,470 per year, or $33.9 per hour.

Intern Engineering Support- Materials and Tests Division

Texas Department of Transportation

Austin, TX • On-site

$16.50 - $21.50/hr

Full-time

Re-posted 3 hours ago

Texas Department Of Transportation rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

201st of 855 rated public administrative organizations

Job description

Must be enrolled in an engineering or related science degree program in an accredited college or university accepted by TX PELS. Assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor.

Essential Duties:

  • Develops spreadsheets, databases, and other electronic documents.
  • Gathers basic data and assist with routine statistical analysis.
  • Obtains material samples for analysis and assists with routine lab testing including operation and cleaning of laboratory equipment; as required, moves items related to these duties.
  • Performs data entry and computer-aided analysis.
  • Performs other job responsibilities as assigned.
  • Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. Available to students in an engineering or engineering technology degree program. 
Minimum Qualifications:

Education: Must be enrolled in an engineering or related science degree program in an accredited college or university accepted by TX PELS.

Other Conditions:Must be at least 16 years of age, a student currently enrolled in high school or any institution of higher education to include a trade/vocational school.

  • Employees at least 18 years of age with valid driver's license may be assigned driving duties and may use power tools.
  Physical Requirements and Working Conditions:
  • Required to wear protective hard hat, or other personal protective equipment/devices.
  • Subject to outside environmental conditions; no effective weather protection.
  • Medium work: Lift up to 50 lbs at a time and frequently lift or carry objects up to 25 lbs.
  • Balancing-walking, standing, crouching on various surfaces without falling.
  • Kneeling-bending legs at knee to come to a rest on knee(s).
  • Lifting-raising objects from lower to higher position/horizontally to a different position.
  • Reaching-extending hand(s) and arm(s) in any direction.
  • Standing-prolonged periods of time.
  • Close Visual Acuity-work includes visual inspection of small defects/parts.
  • Close Visual Acuity-using measurement devices; and/or assembly or fabrication parts.
  • Visual Acuity-operate machines, such as drill presses, power saws, and mills.
 Conditions of Employment:

Please read the Standard Conditions of Employment (TxDOT) for all positions.

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