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Statistical Engineering Jobs in Texas (NOW HIRING)

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 ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field. • 8+ years of experience in data science, machine ...

US Department of the Air Force

$63K/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 ...

U.S. Department of Defense (DOD)

$63K/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 ...

US Department of the Air Force

$63K/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

$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)

$63K/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 ...

MedReview

Data Scientist

Austin, TX · On-site

Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning:

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Statistical Engineering information

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 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 July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Healthcare Statistical Data Scientist

Healthcare Statistical Data Scientist

SmartLight Analytics

Plano, TX • On-site, Remote

Full-time

Posted 3 days ago

Job description

In this role of Healthcare Statistical Data Scientist, you will support the development of analytical models to identify payment anomalies in client healthcare claims data (fraud, waste, or abuse). The results from your work will be reviewed by clinical analysts for outcome success. To be successful in this role, you will have foundational knowledge of statistical models, data mining, and machine learning, as well as a growing ability to combine analytical skills with business context in a healthcare setting.
Responsibilities
  • Support the research and development of analytical models for new and ongoing product lines under the guidance of senior data scientists.
  • Apply ML techniques including gradient boosting, NLP, and probabilistic modeling, with guidance on approach selection and implementation.
  • Assist in developing and training machine-learning models for use cases such as claims cost prediction, fraud and abuse detection, and provider performance analysis.
  • Contribute to ongoing monitoring of product lines, including tracking success metrics to support executive decision-making.
  • Develop understanding of key organizational initiatives and contribute analytical work that supports actionable recommendations.
  • Analyze and interpret medical, pharmacy, and dental claims data (CPT/HCPCS, ICD-10, DRG, NDC) with growing independence.
  • Translate domain knowledge into features and model strategies with direction from senior team members.
  • Collaborate with clinicians, product managers, and business stakeholders to understand problem definitions and measurement approaches.
  • Communicate analytical findings clearly to team members and stakeholders, with support on complex or executive-facing deliverables.
  • Qualifications
  • 2+ years of experience in healthcare analytics or a related analytical role; equivalent academic project experience considered.
  • Foundational exposure to statistical, analytical, or data mining techniques and a demonstrated ability to apply them in a business context.
  • Proficiency in Python and SQL programming required.
  • Basic understanding of healthcare claims, adjudication, and claims content; willingness to deepen knowledge on the job.
  • Familiarity with healthcare data and common analytics terminology (ICD, CPT, REV, DRG, etc.) preferred.
  • Demonstrated ability to solve problems with moderate direction and escalate appropriately when needed.

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