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Statistics Validator Jobs in Spring, TX (NOW HIRING)

IPT Global

Data Scientist

Houston, TX · On-site

Develop and validate proposed analysis methods through the application of physics-based and data ... Proficiency in statistical/numerical analysis concepts: regression, linear and multivariate ...

Amazon

Business Intel Engineer III - AMZ9967495

Houston, TX · On-site

$133K - $176K/yr

... model validation, and model implementation. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related ...

BDP International

Data Scientist

Houston, TX · On-site

$90 - $130/hr

Operating at the intersection of data engineering, statistical modeling, and operational supply ... Ingest, profile, and validate large-scale supply chain datasets sourced from multiple suppliers ...

PSA BDP

Data Scientist

Houston, TX · On-site

Operating at the intersection of data engineering, statistical modeling, and operational supply ... Key Responsibilities: • Ingest, profile, and validate large-scale supply chain datasets sourced ...

Bdp International

Data Scientist

Houston, TX

... statistical modeling, and operational supply chain knowledge, this role owns the end-to-end process ... Ingest, profile, and validate large-scale supply chain datasets sourced from multiple suppliers ...

MetOx International, Inc.

Senior Process Engineer

Houston, TX · On-site

$99K - $128K/yr

Establishes operating windows, process controls, and statistical monitoring strategies to ensure ... Leads updates to process control plans, PFMEAs, and process validation activities. * Supports ...

MetOx International, Inc.

Senior Process Engineer

Houston, TX · On-site

$99K - $128K/yr

Establishes operating windows, process controls, and statistical monitoring strategies to ensure ... Leads updates to process control plans, PFMEAs, and process validation activities. * Supports ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

The ideal candidate will have mathematical and statistical expertise, along with natural curiosity ... validate data for uniformity and accuracy * Analyze data for trends and patterns, and interpret ...

CEMEX

ANALYST SUPPLY CHAIN

Houston, TX · On-site

This role works closely with the Commercial and Operation teams to validate and optimize monthly plans. The main elements of this job focus on statistical demand analysis and commercial forecast ...

CEMEX

ANALYST SUPPLY CHAIN

Houston, TX · On-site

This role works closely with the Commercial and Operation teams to validate and optimize monthly plans. The main elements of this job focus on statistical demand analysis and commercial forecast ...

Munich Re

Data Scientist

Houston, TX · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.

Amazon

Business Intel Engineer II - AMZ9674069

Houston, TX · On-site

$133K - $160K/yr

... to validate findings. Works across several Transportation and Storage Compliance programs to ... Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics ...

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Showing results 21-40

All JobsStatistics Validator JobsStatistics Validator Jobs in Spring, TX

Statistics Validator information

See Spring, TX salary details

$36K

$74.4K

$104.1K

How much do statistics validator jobs pay per year?

As of Aug 21, 2026, the average yearly pay for statistics validator in Spring, TX is $74,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $103,200.00 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 Spring, TX?

For Statistics Validator jobs in Spring, TX, the most frequently searched job titles are:

What cities near Spring, TX are hiring for Statistics Validator jobs?

Cities near Spring, TX with the most Statistics Validator job openings:

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Spring, TX as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $74,445 per year, or $35.8 per hour.

Data Scientist

IPT Global

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Company Description
At IPT Global, we're pioneers in providing innovative digital solutions for well integrity assurance and energy technology. Our mission is to empower operators with the data, tools, and insights they need to ensure safer, more reliable operations.
We combine deep domain expertise with cutting-edge software development to deliver high-quality applications and platforms that enhance performance, safety, and efficiency across the energy lifecycle. Our teams collaborate across disciplines, embracing creativity, accountability, and continuous learning to drive technological progress and deliver lasting value to our customers.
If you want to work in an environment that values growth, innovation, and teamwork - we'd love to meet you.
Job Description
  • Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization, presentation, productizing)
  • Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key stakeholders
  • Evaluate, improve, and invent analysis methods to be used in IPT Global's suite of well integrity solutions
  • Develop and validate proposed analysis methods through the application of physics-based and data-based models to industry component data sets, apply variances to account for test environment effects and signal noise to gauge algorithm performance and robustness
  • Collaborate with multiple teams and present findings, prototypes, and recommendations periodically to multiple levels of stakeholders, including to senior management
  • Leverage existing data sets to improve/invent analysis methods and solutions by performing data analysis on large sets of data identifying trends, patterns, anomalies, clusters, and insights in a continual advancement of our state-of-the-art
  • Perform statistical analysis of field and simulated data to provide reliability insights, confidence levels, and risk assessments
  • Support Business Development through projects evaluating client/prospect data and potential improvements in reliability and efficiency using IPT products
  • Analyze operational data, create KPIs, and develop dashboards or visualizations that drive action and provide business value for internal and external clients
  • Participate in technical document generation and research publication writing, and present research at national/international conferences and forums in fields related to the role
  • Document innovations in the consideration and protection of Intellectual Property (e.g., patent applications, trade secrets)
  • All other assigned duties

Qualifications
REQUIREMENTS
  • Bachelor's or Master's degree in a quantitative discipline (e.g., Mathematics, Statistics, Engineering, Computer Science, Physics, Applied Science) or related discipline with demonstrated research capability
  • 3 years of direct work experience in a data related field
  • Proficiency in statistical/numerical analysis concepts: regression, linear and multivariate analysis, curve-fitting, sampling methods, descriptive statistics, probability distributions, stochastic models, confidence/risk analysis, optimization
  • Experience with statistical/numerical software (e.g., R, Python, MATLAB), database query languages (e.g., SQL), and data science toolkits (e.g., TensorFlow, Keras)

PREFERRED SKILLS
  • 5+ years of relevant work experience, including expertise with statistical data analysis
  • Proficiency in implementing machine learning and deep learning techniques and algorithms (e.g., KNN, Naïve Bayes, SVM, Decision Forest, RandomForest, Gradient Boosting, CNN) and applying model validation concepts
  • Experience in predictive and prescriptive modeling, including model training and validation
  • Familiarity with Azure, or other cloud computing services (AWS, Google Cloud, etc.)
  • Familiarity with C#, virtual machines / containers
  • History of generating technical documents and publications
  • Experience in the oil and gas industry, especially operations, and understanding of industry common terminology

Additional Information
  • Location: Houston, Texas
  • Employment Type: Full-time, flexible schedule
  • Compensation: Competitive compensation commensurate with experience, plus comprehensive benefits (medical, dental, vision, 401(k), paid time off).
  • Work Environment: Collaborative and innovative team culture focused on continuous improvement and professional growth.

Join IPT Global and help us shape the next generation of software that supports the energy industry's drive toward safety, efficiency, and innovation.

Apply