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Applied Statistician Jobs in Texas (NOW HIRING)

Compunnel, Inc.

Statistician

Houston, TX · On-site

$42/hr

The position requires expertise in statistical modeling, data engineering, and applied machine learning, with a focus on producing actionable findings that inform early childhood workforce ...

Ogletree Deakins

Lead Statistician

Houston, TX

$124K - $149K/yr

Willingness to conform to standardized group practices. #LI-LM1 Educational Requirements Master's degree in applied statistics, mathematics, econometrics or a similar field or commensurate experience ...

Ogletree Deakins

Lead Statistician

Austin, TX

$124K - $149K/yr

Willingness to conform to standardized group practices. #LI-LM1 Educational Requirements Master's degree in applied statistics, mathematics, econometrics or a similar field or commensurate experience ...

Ogletree Deakins

Lead Statistician

Houston, TX

$124K - $149K/yr

Willingness to conform to standardized group practices. #LI-LM1 Educational Requirements Master's degree in applied statistics, mathematics, econometrics or a similar field or commensurate experience ...

Ogletree Deakins

Lead Statistician

Austin, TX

$124K - $149K/yr

Willingness to conform to standardized group practices. #LI-LM1 Educational Requirements Master's degree in applied statistics, mathematics, econometrics or a similar field or commensurate experience ...

Ogletree Deakins

Statistician II - Wage and Hour

Austin, TX · On-site

$92K - $105K/yr

Master's-level (or above) degree in applied statistics, mathematics, econometrics or a similar field or commensurate experience or equivalent level of training. #LI-LM1 #LI-Associate# For Colorado, N ...

GM Financial

Risk Statistician II

Fort Worth, TX · Hybrid

Bachelor's Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience ...

GM Financial

Risk Statistician II

Fort Worth, TX · On-site

Bachelor's Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience ...

Atmosphere TV

Senior Data Scientist

Austin, TX · On-site

The ideal candidate is an excellent applied statistician and modeler: someone who deeply understands causal inference and predictive methods, knows which technique fits which problem and why, and can ...

Ra

Marketing Analytics Consultant

Dallas, TX · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Irving, TX

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Dallas, TX · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Houston, TX · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

US Department of the Air Force

$63K/yr

OR COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics ... applied physics and mathematics, applying and using mathematical and simulation models to verify ...

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All JobsApplied Statistician JobsApplied Statistician Jobs in Texas

Applied Statistician information

See Texas salary details

$37.7K

$77.9K

$109K

How much do applied statistician jobs pay per year?

As of Aug 27, 2026, the average yearly pay for applied statistician in Texas is $77,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $108,100.00 per year, depending on experience, location, and employer.

What is an applied statistician?

An applied statistician is a professional who uses statistical methods and techniques to collect, analyze, and interpret data in order to solve real-world problems. They work across various industries, such as healthcare, finance, government, and technology, to inform decision-making and improve processes. Applied statisticians design experiments, develop predictive models, and communicate their findings to stakeholders, often using specialized software and programming languages. Their work supports evidence-based strategies and helps organizations make informed choices.

What does an applied statistician do?

As an applied statistician, you apply statistical formulas and analysis to real-world situations. Your responsibilities and the scope of your job vary depending on the needs of your employer. You may develop a plan to collect data, perform analysis using statistical methods, and formulate a report on your findings. You may also use statistical analysis to solve specific problems or identify trends in an organization, a city, or an industry. You also use computer software to organize and analyze large amounts of data.

What are the key skills and qualifications needed to thrive as an applied statistician, and why are they important?

To thrive as an Applied Statistician, you need strong quantitative skills, a solid background in statistics or mathematics, and typically at least a bachelor's or master's degree in a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and experience with data management systems are commonly required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying findings to stakeholders. These skills ensure accurate data analysis, effective decision-making, and clear presentation of complex statistical concepts in real-world applications.

What are some common challenges an applied statistician faces when working with cross-functional teams?

Applied Statisticians often work closely with professionals from diverse backgrounds, such as engineers, business analysts, and subject matter experts. One common challenge is translating complex statistical concepts into actionable insights for non-technical stakeholders. Additionally, balancing the need for methodological rigor with practical constraints like tight deadlines and limited data quality can be demanding. Success in this role often depends on strong communication skills, adaptability, and the ability to collaborate effectively to ensure statistical analyses drive meaningful decisions.

What is the difference between Applied Statistician vs Data Analyst?

AspectApplied StatisticianData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentResearch settings, industries like healthcare, finance, manufacturing; focus on statistical modelingBusiness environments, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageEmployers seeking advanced statistical analysis for decision-makingOrganizations needing data-driven insights for operational improvements

Applied Statisticians and Data Analysts both work with data, but Applied Statisticians focus more on developing statistical models and methods, often requiring advanced statistical knowledge. Data Analysts typically handle data cleaning, visualization, and reporting to support business decisions. While their skills overlap, their roles differ in complexity and focus, with Applied Statisticians often involved in more technical, research-oriented tasks.

What is a good salary for an applied statistician?

The average salary for an applied statistician varies by experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Senior roles with advanced skills in statistical software and data analysis can earn higher salaries, especially in competitive markets or specialized sectors.

What jobs use applied statistics?

Applied statisticians work in various fields such as healthcare, finance, marketing, government, and technology, applying statistical methods to solve real-world problems. They often analyze data, develop models, and use tools like R, SAS, or Python to inform decision-making and policy. These roles typically require strong analytical skills and knowledge of statistical software and techniques.
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Applied Statistician jobs near you
Infographic showing various Applied Statistician job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $77,939 per year, or $37.5 per hour.

Statistician

Compunnel, Inc.

Houston, TX • On-site

$42/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary Th e Statistician supports the Client a portfolio of large-scale statewide programs at the intersection of advanced analytics, applied education research, and emerging AI/ML technologies. This role involves analyzing heterogeneous datasets from statewide systems such as CLI Engage and TECPDS, generating policy-relevant insights, and collaborating with state and local education agencies. The position requires expertise in statistical modeling, data engineering, and applied machine learning, with a focus on producing actionable findings that inform early childhood workforce development and child outcomes across Texas. Key Responsibilities Le ad statistical analyses including multilevel modeling, growth modeling, psychometrics, IRT, SEM, latent variable approaches, and classification methods Work with large, multi-source datasets requiring statistical sophistication and strong data engineering instincts Translate findings into dashboards, interactive reports, and graphical summaries for state partners and policymakers Engage with AI/ML workflows including predictive modeling, NLP, automation of reporting, and generative AI applications Support recurring reporting (annual, quarterly, weekly, near-real-time) with reproducible analytic workflows Maintain and adapt SAS pipelines while also leveraging R and Python for new analyses Collaborate with faculty and stakeholders to ensure methodological rigor and policy relevance Contribute to scholarly and technical products including peer-reviewed publications, grant applications, technical reports, Shiny apps, and GitHu b tools Required Qualifications Master’s degree in statistics, mathematics, informatics, engineering, or related field Minimum of 3 years enterprise experience as a data scientist, statistician, or analyst across multiple projects Proficiency in SAS, R, and Python for statistical analysis and data pipelines Experience with large, heterogeneous datasets and diverse data formats (relational databases, XML, JSON, CSV, text, sensors, social media, geolocation) Strong communication skills to explain methods, rationale, and statistical validity to technical and non-technical audienc es Preferred Qualifications Familiarity with cloud platforms (AWS preferred) Experience with AI/ML methods applied to research and analytics Background in education research or workforce analytics Physical Requirements Ability to exert up to 50 lbs occasionally, 20 lbs frequently, and negligible amounts constantly to move objects Education: High School

Company Description

Compunnel Inc., established in 1994; is a leading provider of Staffing, IT/Software, e-Learning/Training, Business Intelligence, and Cloud Solutions. A leader in contingent and permanent workforce solutions, we also provide temp-to-hire staffing, project-based/SOW staffing, and payroll services to our esteemed clientele which includes Fortune 500 companies of diverse industry segments. Ranked as one of the largest staffing firms in the US which is our primary service market; we also have a significant presence in Europe and Asia. As a national service provider in the US, we are serving our customers all major states and regions; thereby generating numerous job opportunities for prospective employees in their preferred locations of choice.

We have witnessed multi-fold YOY growth, and continuously adding a large pool of talented resources to our employee base every year. Our extensive experience in hiring professionals of multiple in-demand skill sets (IT, Engineering, Healthcare, Admin-Clerical, Finance, Professional, Light Industrial, etc.) further makes Compunnel a wider and preferred platform for people to pursue their careers in the US. We welcome people from all walks of life and cultures, and we support workforce diversity by providing equal employment opportunities to people without any discrimination based on race, color, gender, religion, national/ethnic region, disability, or any other basis.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media

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