ZipRecruiter

Log In

1

Statistical Engineering Jobs in Texas (NOW HIRING)

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:

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Build scalable data products, models, and decision-support tools using statistical methods, machine learning, optimization, and modern analytics engineering practices. * Partner with business leaders ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Build scalable data products, models, and decision-support tools using statistical methods, machine learning, optimization, and modern analytics engineering practices. * Partner with business leaders ...

Recru

Data Scientist

Houston, TX

Bachelor's in Computer Science, Data Science, Statistics, Engineering, Physics, Applied Mathematics, or related quantitative field. * 3+ years of experience in machine learning, applied AI, or ...

AURORATE LLC

Engineering Manager

Houston, TX · On-site

The Engineering Manager will oversee engineering personnel, drive process optimization, ensure ... Statistical Process Control (SPC) * Process Capability Studies (Cp, Cpk, Ppk, CMK) * Experience ...

Take-Two Interactive

Data Engineer (Python/Spark)

Austin, TX · On-site

$113K - $136K/yr

... Statistics, Engineering, or similar. Preferred : • Experience integrating with 3rd party APIs is highly desirable. Company : Headquartered in New York City, Take-Two Interactive Software, Inc.

GATE Energy

Engineering Consultant

Houston, TX · On-site

... statistical tools to provide a more accurate metering for wells. Machine learning and data ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer

PDS Defense

Industrial Engineer

San Antonio, TX · On-site

$63K - $85K/yr

Uses engineering methods (e.g., mathematical models, simulations, statistics) to support the development of optimal process designs and efficient utilization of resources (e.g., facilities, personnel ...

GATE Energy

Engineering Consultant

Houston, TX · On-site

... statistical tools to provide a more accurate metering for wells. Machine learning and data ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer Equal ...

next page

Showing results 1-20

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Texas

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.
Data Scientist

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Re-posted 17 hours ago

Job description

Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote. 
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. 
Qualifications: 
  • Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • 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: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

Powered by JazzHR

WlyC1tysjt