ZipRecruiter

Log In

1

Statistical Engineering Jobs in Austin, TX (NOW HIRING)

skywater

Electrical Test Engineer

Austin, TX · On-site

Will investigate WET issues by finding root cause using statistical methods and electrical analysis. Engineer investigates shifts in WET parameters using statistical methods. * Will collaborate ...

Addison Group

Senior Full Stack AI Engineer

Austin, TX · Remote

$85 - $95/hr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (Master's preferred). * 8+ years of software engineering experience, including 4+ years developing AI ...

Addison Group

Senior Full Stack AI Engineer

Austin, TX · Hybrid

$85 - $95/hr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (Master's preferred). * 8+ years of software engineering experience, including 4+ years developing AI ...

Addison Group

Senior Full Stack AI Engineer

Austin, TX · On-site

$85 - $95/hr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (Master's preferred). * 8+ years of software engineering experience, including 4+ years developing AI ...

next page

Showing results 1-20

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 Jul 17, 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 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.

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 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 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,470 per year, or $33.9 per hour.

ATMC Films PVD Engineering Technician

NXP Semiconductors

Austin, TX • On-site

Full-time

Posted 11 days ago

Job description

Job Summary:

  • Senior Level Semiconductor Fab PVD Engineering Technician
  • Identification and variation reduction of process & tool performance
  • Increasing production capacity on new and existing toolsets
  • Identify and support defectivity/scrap reduction efforts
  • Defining Out of Control Action Plans
  • Improving tool reliability and availability
  • Improving cost performance of processes
  • Improving process monitoring and sensor capabilities
  • Qualifying alternate parts
  • Developing and writing specifications
  • Implementation of Six-Sigma statistical process control methods
  • Participating in and/or leading cross-functional and lean activity teams

Job Qualifications:

  • 5+ years in Semiconductor Fabrication as PVD Engineering Technician or Engineer
  • Required proficiencies: AMAT 5X00 Endura and RTP toolsets
  • Ability to generate, analyze, and interpret data
  • Demonstrated presentation skills
  • Ability to deal with multiple issues and shifting priorities
  • Strong verbal and written communication skills
  • Ability to interact professionally with multiple disciplines and work together to prioritize issues and solve problems
  • Self-motivated; able to take initiative and effectively prioritize work for self
  • A strong desire to help create a positive, winning, world class working environment
  • Good foundational problem-solving skills with creative solutions and out-of-the-box thinking

#LI-DNI

Apply