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Statistical Engineering Jobs in Texas (NOW HIRING)

Refinere

Python Data Wrangler Internship

Dallas, TX · On-site

$49.75 - $68.50/hr

Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field. * 2 or more years of educational experience with statistical programming languages (such as ...

RefineRE

Python Data Wrangler Internship

Dallas, TX · On-site +1

$50 - $68.75/hr

Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field. * 2 or more years of educational experience with statistical programming languages (such as ...

Refinere

Python Data Wrangler Internship

Texas, IL · On-site +1

$49.75 - $68.50/hr

Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field. * 2 or more years of educational experience with statistical programming languages (such as ...

MMS

Study Design Statistician (Remote)

Austin, TX · On-site

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

AT&T

Lead Data Scientist

Dallas, TX · On-site

$171.60K - $257.40K/yr

The role also involves working with large, complex data sets and executing core data science workflows, including data extraction, cleansing, feature engineering, model tuning, and statistical ...

TEXAS RESEARCH INTERNATIONAL INC

Cloud Data Engineer

Austin, TX · Remote

$55.25 - $73.75/hr

... data and statistical programming tools to enterprise data to advance and enable key mission ... Bachelor's Degree More than two years of data engineering and architecture experience More than two ...

US Department of the Air Force

$63.80K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

US Department of the Air Force

$63.80K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

CareSet Systems

SAS Statistician

Houston, TX · On-site

$95K/yr

... developer. You also don't just look at numbers and pass them on unexamined. You appreciate that ... Advanced degree in Statistics, Mathematics or undergraduate degree in Mathematics or Statistics and ...

CareSet Systems

SAS Statistician

Houston, TX

$95K/yr

... developer. You also don't just look at numbers and pass them on unexamined. You appreciate that ... Advanced degree in Statistics, Mathematics or undergraduate degree in Mathematics or Statistics and ...

U.S. Department of Defense (DOD)

$63.80K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Texas

Statistical Engineering information

See Texas salary details

$55.3K

$64.9K

$72.4K

How much do statistical engineering jobs pay per year?

As of Jun 1, 2026, the average yearly pay for statistical engineering in Texas is $64,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $69,300.00 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.

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 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 are popular job titles related to Statistical Engineering jobs in Texas? For Statistical Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Texas look for? The top searched job categories for Statistical Engineering jobs in Texas are:
What cities in Texas are hiring for Statistical Engineering jobs? Cities in Texas with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Texas as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,887 per year, or $31.2 per hour.
Python Data Wrangler Internship

Python Data Wrangler Internship

Refinere

Dallas, TX • On-site

$49.75 - $68.50/hr

Internship

Posted 4 days ago

Job description

RefineRE is seeking a Python intern to work closely with the product team on various projects to ensure integrity of data quality. These projects will entail iterative programming aspects that shed light on data quality, consistency, and usability. Ideal candidates will possess strong problem solving and intermediate python skills.
Requirements:
  • Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field.
  • 2 or more years of educational experience with statistical programming languages (such as Python or R).
  • Familiarity with Jupyter notebooks or other Python IDE's.
  • Ability to do basic tasks in Python or R to
    • Create loops for iterating over rows and columns in a data frame,
    • Transform data based on logical conditions,
    • Keep well-documented code while producing project deliverables on time,
    • Develop reusable, efficient, testable, and scalable code.

Nice to have:
  • Experience with SQL, API's, GCP and/or Tableau.

*Can be in office, remote, or hybrid*

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