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Data Statistician Jobs in Texas (NOW HIRING)

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Data Statistician information

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$47K

$81K

$108.5K

How much do data statistician jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data statistician in Texas is $80,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $91,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data statistician?

To thrive as a Data Statistician, you need a strong background in mathematics, statistical analysis, and data modeling, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as R, SAS, or Python, and familiarity with data visualization tools, are commonly required. Attention to detail, problem-solving ability, and effective communication skills help distinguish top performers in this role. These skills ensure accurate data interpretation, actionable insights, and clear presentation of findings to stakeholders.

What are some common challenges faced by data statisticians when working with large, complex datasets?

Data Statisticians often encounter challenges such as data quality issues, missing or inconsistent values, and integrating data from multiple sources. Ensuring the accuracy and reliability of data before analysis can be time-consuming but is crucial for meaningful results. Additionally, statisticians must be adept at using statistical software and programming languages to efficiently process and visualize large datasets, often collaborating with data engineers and analysts to address these challenges. Staying up-to-date with the latest analytical techniques and tools is also essential in this rapidly evolving field.

What is the difference between Data Statistician vs Data Analyst?

AspectData StatisticianData Analyst
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, Economics, or related field
Work EnvironmentResearch institutions, government agencies, large corporationsBusiness, marketing, finance, healthcare sectors
Employer & Industry UsageUsed for designing experiments, advanced modeling, and statistical analysisFocuses on interpreting data, creating reports, and supporting decision-making

While both roles involve analyzing data, Data Statisticians typically focus on designing experiments and developing complex statistical models, often requiring advanced degrees. Data Analysts tend to interpret data sets, generate reports, and support business decisions. The roles overlap in skills and tools but differ in scope and depth of statistical expertise.

Are data statisticians still in demand?

Data statisticians are still in demand due to the increasing reliance on data analysis across industries. They utilize skills in statistical software, programming languages, and data interpretation to support decision-making, with employment growth expected to continue as organizations prioritize data-driven strategies.

What do data statisticians do?

Data statisticians analyze large datasets to identify trends, patterns, and insights that support decision-making. They use statistical methods, software tools like R or SAS, and data visualization techniques to interpret data and communicate findings effectively.

What are popular job titles related to Data Statistician jobs in Texas?

For Data Statistician jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Statistician jobs in Texas look for?

The top searched job categories for Data Statistician jobs in Texas are:

Infographic showing various Data Statistician job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,980 per year, or $38.9 per hour.

$74K/yr

Full-time

Posted 10 days ago


Key responsibilities

  • Assist in researching and applying basic statistical and/or mathematical techniques.

  • Support the development and refinement of statistical and/or mathematical risk models and analytical methods.

  • Prepare draft reports, summaries, or visualizations that communicate the results of statistical or analytical work.


Job description

This position is part of the DOI, ONRR, Deputy Director, Research & Analytics, Analytics & Compliance Planning. You must be able to report to one of the advertised duty stations. The position(s) may be filled in the following locations:
Dallas, TX - $81,186 - $150,426
Lakewood, CO -$83,265 - $154,280
Houston, TX - $86,123 - $159,575
Oklahoma City, OK - $74,678 - $138,370
Tulsa, OK - $74,678 - $138,370
The incumbent will be responsible for serving as a Statistician (Data Scientist).

Qualifications:All applicants for this position must possess one of the following basic requirements:
A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
B. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
(NOTE: YOU MUST PROVIDE LEGIBLE TRANSCRIPTS SHOWING COMPLETED COURSEWORK AND DEGREE(S) AWARDED AS VERIFICATION OF YOUR EDUCATION).
In addition to meeting the basic eligibility requirements, applicants must have the following specialized experience.
At the GS-11 level, you must meet one of the following qualifications:
A. Three (3) years of progressively higher level graduate education (54 semester hours, 81 quarter hours or the equivalent) leading to a to a Ph.D. degree or Ph.D. or equivalent doctoral degree in statistics, or other directly related field of study if it provided the knowledge, skills and abilities necessary to do the work of this position. OR
B. One year of specialized experience equivalent to the GS-09 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) Assist in researching and applying basic statistical and/or mathematical techniques under the guidance of others; 2) assist in preparing or supporting the development of statistical and/or mathematical risk models and analytical methods as well as refining models; 3) participate in meetings with team members or management to discuss and document methods and results related to statistics, risk, or analytical models; 4) prepare draft reports, summaries, or visualizations that communicate the results of statistical or analytical work to others. OR
C. A Combination of education and experience as listed above.
At the GS-12 level, you must meet the following qualification:
One year of specialized experience equivalent to at least the GS-11 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) research and apply statistical and/or mathematical techniques and accurately interpret results; 2) provide support in developing statistical and/or mathematical risk models and analytical and algorithmic methods that test hypotheses and refine models; 3) meet with management or employees to interpret, explain and document methods, and results as they relate to statistics, risk and analytical models; 4) deliver training or provide guidance to peers and other employees for techniques and best practices in interpreting results from a statistical and/or mathematical risk model.
At the GS-13 level, you must meet the following qualification:
One year of specialized experience equivalent to at least the GS-12 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) develop or revise an agency or organization's statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk; 2) develop procedures for statistical model data integration, query authoring, manipulation, and output related to financial, economic, or actuarial risk; 3) develop, review, and enhance an agency or organization's financial, economic, or actuarial risk models and analytical methods to test hypotheses and refine models; 4) lead and conduct meetings with stakeholders or technical representatives to interpret, explain and document methods, results, and interpretations as they relate to statistics, risk and analytical models; 5) develop and deliver training or provide guidance to peers and other audiences on conducting and interpreting results from statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk.
Only experience and education obtained by the closing date of this announcement will be considered.
TIME-IN-GRADE: Current career or career-conditional employees of the Federal government, or former career or career-conditional employees, who have a break in service of less than one year, are required to meet the time-in-grade restriction of one year of Federal experience at the next lower grade, with few exceptions outlined in 5 CFR 300.603(b).
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). You will receive credit for all qualifying experience, including volunteer experience.Education:You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: (1) official or unofficial transcripts are acceptable, or (2) you may submit a list with all of your courses, grades, semester, year, and credit for the course. All materials must be submitted by the closing date of the announcement. Note: PDF Portfolio documents will not be processed or accepted as they appear as a one-page document.
Only education from institutions which are accredited or preaccredited/candidate for accreditation may be used to meet education requirements.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/Employment Type: OTHER