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Statistical Engineering Jobs in Austin, TX (NOW HIRING)

Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data ...

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 ...

Performs complex engineering tests, checkouts, and development engineering tasks. * Analyzes ... Ability to work with mathematical concepts such as probability and statistical inference, and ...

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 ...

Performs complex engineering tests, checkouts, and development engineering tasks. * Analyzes ... Ability to work with mathematical concepts such as probability and statistical inference, and ...

Senior Software Engineer, Data

Austin, TX

$113K - $136K/yr

Familiarity with statistical analysis and core data science concepts (feature engineering, data distributions, model evaluation etc). * Degree in Computer Science, Statistics, a related technical ...

... Engineering or related field + 3 years industry experience. * Self-motivated, detail-oriented, and able to make informed decisions. * Possesses a strong understanding of statistics and experience ...

Showing results 41-60

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 Aug 7, 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:
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.

Nontenure Faculty Pool - Industrial Engineering

Texas State University

San Marcos, TX • On-site

$67K - $90K/yr

Temporary

Posted 22 days ago


Texas State University rating

6.3

Company rating: 6.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

530th of 616 rated colleges and universities


Job description

Posting Information
Posting Information
Position Title
Nontenure Faculty Pool - Industrial Engineering
Job Posting Number
2027022NTL
Job Location
San Marcos
College/Division
College of Science and Engineering
Department/School
Ingram School of Engineering
Position Description
The Ingram School of Engineering seeks to develop a pool of candidates for possible temporary/nontenured faculty positions to teach in the Industrial Engineering Program.
Temporary/nontenured faculty are appointed to teach one to four courses per semester. Teaching appointments are based upon student demand on a semester-by-semester basis. Eligibility for annual reappointment is contingent upon satisfactory annual performance evaluations during the term period, in addition to continuity of funding and school need. Successful candidates will teach at the Texas State University campus in San Marcos, Texas.
This posting is for the fall 2026, spring 2027, and summer 2027 semesters. Please note that this posting is not intended to convey that such a need currently exists. Applicants applying for this pool faculty position will be available to the Industrial Engineering Program search committee for consideration in case the need arises.
Positions are subject to availability of funds.
Required Qualifications
  • A minimum of a master's degree in Industrial Engineering or a closely related engineering field.
  • Strong academic background in one or more of the following areas: probability and statistics, design of experiments, operations research/prescriptive analytics (exact, heuristic and simulation methods), productivity analysis (i.e., facilities planning, quality engineering, production systems, methods engineering, lean manufacturing, project management, supply chain engineering), human factors, engineering economics, and computational data analytics.
  • Excellent written and oral communication skills.

Preferred Qualifications
  • A Ph.D. in Industrial Engineering or a closely related engineering field.
  • Previous experience teaching undergraduate engineering courses as the instructor of record.
  • Expertise with Industry 4.0 or 5.0 technologies and trends such as digital twins, automation, smart factories, big data, sustainability, and resiliency .
  • Industrial experience.

Application Procedures
The Industrial Engineering program within the Ingram School of Engineering will accept applications from qualified applicants on a continual basis. Only applications submitted through the Texas State University website will be accepted and considered, https://jobs.hr.txstate.edu/postings/57810
Interested individuals should submit the following:
  • A current Curriculum Vitae (CV).
  • Letter of interest outlining specific academic and professional experiences relevant for appointment.
  • Statement of Teaching Philosophy.
  • Unofficial transcripts (all in one document).

As part of our application process, we are requesting contact information for three (3) academic references who can provide information about the applicant's skills and experiences. Please provide the names and email addresses for your academic references in the Reference Letter section of the employment application.
Candidates selected for hire will be required to provide official transcripts from all degree granting universities.
Type of Position
Temporary Full-Time or Part-Time
Proposed Start Date
FY2027
Posting Date
07/16/2026
Review Date
05/31/2027
Close Date
05/31/2027
Open Until Filled?
No
Legal Notices
Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, drug screening (if applicable), and employment eligibility verifications.
Certain positions, including those with clinical responsibilities, require compliance with health, immunization, and other requirements mandated by affiliated clinical agencies. Employment and continued assignment in such roles are contingent upon meeting and maintaining these requirements.
This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.
Reasonable Accommodation
If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.
Record Checks and Verifications
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
Eligibility for Employment
In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.
Why Work at Texas State?
Texas State University is a large, student-centered public research institution serving more than 40,000 students across undergraduate, graduate, and doctoral programs in San Marcos and Round Rock. Classified as a Carnegie Doctoral University with High Research Activity (R2), TXST is actively advancing its ambitious Run to R1 strategy, demonstrating sustained growth in research activity, doctoral education, and scholarly impact.
Faculty at TXST join a vibrant academic community of over 5,000 faculty and staff committed to excellence in teaching, research, and service. The university offers a collaborative, supportive environment, and interdisciplinary scholarship. Outstanding faculty are drawn to TXST for the opportunity to make a meaningful impact-advancing research, mentoring a growing student body, and helping shape the future of a rapidly growing research university.
Quick Link
https://jobs.hr.txstate.edu/postings/57810
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