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Statistics Validator Jobs in Baltimore, MD (NOW HIRING)

Kids for the Future

Statistician SME IV

Silver Spring, MD · On-site

$120K - $167K/yr

* Location Various,Silver Spring, MD, 20815,United States * Job Category Scientific & Medical Research * Employee Type FT Exempt * Required Degree Doctorate Location: Psychological Health Center of

micro1 AI

Director of Biostatistics

Baltimore, MD · Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Varsity Tutors

Machine Learning Tutor

College Park, MD · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the

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All JobsStatistics Validator JobsStatistics Validator Jobs in Baltimore, MD

Statistics Validator information

See Baltimore, MD salary details

$40.2K

$83.1K

$116.3K

How much do statistics validator jobs pay per year?

As of Sep 12, 2026, the average yearly pay for statistics validator in Baltimore, MD is $83,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $115,300.00 per year, depending on experience, location, and employer.

What is a statistics validator?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a statistics validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What are the key skills and qualifications needed to thrive as a statistics validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining familiarity with data validation techniques and obtaining relevant certifications, such as the Certified Data Management Professional (CDMP), can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in demand in industries such as finance, healthcare, and research, where data accuracy is critical. These jobs often require strong analytical skills and proficiency with statistical software, and demand is expected to grow as data-driven decision-making increases across sectors.

What are popular job titles related to Statistics Validator jobs in Baltimore, MD?

For Statistics Validator jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Statistics Validator jobs in Baltimore, MD look for?

The top searched job categories for Statistics Validator jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Statistics Validator jobs?

Cities near Baltimore, MD with the most Statistics Validator job openings:

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Baltimore, MD as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,124 per year, or $40 per hour.

Mathematical Statistics Series

Linthicum Heights, MD

US Department of the Air Force
See more jobs at US Department of the Air Forceexternal

$63K/yr

Full-time

Re-posted 24 days ago

Job description

Click on "Learn more about this agency" button below for IMPORTANT additional information.
This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection.Qualifications:In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Professional and Scientific Positions and the Individual Occupational Requirement (IOR) for the GS-1529 Series.
BASIC REQUIREMENTS FOR ALL GRADE LEVELS:
Bachelor's degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as show above, plus appropriate experience or additional education.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
SPECIALIZED EXPERIENCE:
GS-11: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-09, or equivalent in other pay systems. Examples of specialized experience includes mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out conventional scientific process. Experience in related disciplines to design, develop and adapt scientific methods and techniques.
OR
EDUCATION: 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. NOTE: You must submit copy of official transcripts.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience may be used to qualify for this position as long as the computed percentage of the requirements is at least 100 percent. NOTE: You must submit a copy of official transcripts.
GS-12: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-11, or equivalent in other pay systems. Examples of specialized experience include space surveillance systems substantially similar in functionality, relevant mathematical 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 statements and development plans, cost evaluations, etc.
GS-13: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-12, or equivalent in other pay systems. Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more specialized areas of operation and cyber related theories, atmospheric density modeling, simulation and software systems to conduct complex original studies and apply research findings to broad studies of an unprecedented nature.
GS-14: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-13, or equivalent in other pay systems. Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more specialized areas of operation and cyber related theories, atmospheric density modeling, simulation and software systems to conduct complex original studies and apply research findings to broad studies of an unprecedented nature, skill in coordinating extensive projects in assigned areas of engineering principals, knowledge of regulations and mission and strategic objectives.
GS-15 Applicants must have at least one (1) year of specialized experience at the next lower grade GS-14, or equivalent in other pay systems. Examples of specialized experience include space surveillance network, space operational processes and procedures, orbital mechanics, applied physics and mathematics, applying and using mathematical and simulation models to verify and validate space systems. Broad management principles associated with directing highly skilled technical personnel and combining in house and external resources for complex analytical and technical projects.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
1. Knowledge or mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes, knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques.
2. Knowledge in space surveillance systems substantially similar in functionality in order to design, test or upgrade software, knowledge of administrative aspects of task engineering and management.
3.Skill in broad areas of classical and modern higher mathematics to originate and develop mathematical models in cyber systems.
4. Knowledge of mathematics and physics for own independent research in antennas and propagation, electromagnetic systems concepts involving microwave antennas, radar, communications and RF sensor technology.
5. Knowledge of of safety and security regulations, practices and procedures, space surveillance network, space operational processes and procedures.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER

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