... federal statistical agency client. This is a hybrid role: data engineering (building and ... Implement data validation, cleaning, and transformation logic to ensure data quality and ...
... federal statistical agency client. This is a hybrid role: data engineering (building and ... Implement data validation, cleaning, and transformation logic to ensure data quality and ...
... federal statistical agency client. This is a hybrid role: data engineering (building and ... Implement data validation, cleaning, and transformation logic to ensure data quality and ...
Quick apply
... federal statistical agency client. This is a hybrid role: data engineering (building and ... Implement data validation, cleaning, and transformation logic to ensure data quality and ...
Data Engineer - Classical Statistics & Machine Learning
Mclean, VA · On-site
$90 - $120/hr
... federal statistical agency client. This is a hybrid role: data engineering (building and ... Implement data validation, cleaning, and transformation logic to ensure data quality and ...
Data Engineer - Classical Statistics & Machine Learning
Mclean, VA · On-site
$90 - $120/hr
... federal statistical agency client. This is a hybrid role: data engineering (building and ... Implement data validation, cleaning, and transformation logic to ensure data quality and ...
Validate analytical findings and ensure accuracy, reproducibility, and scientific integrity of statistical products. * Interpret statistical findings and communicate results to technical and non ...
New
Validate analytical findings and ensure accuracy, reproducibility, and scientific integrity of statistical products. * Interpret statistical findings and communicate results to technical and non ...
New
Statistician
Washington, DC · On-site
$100K - $120K/yr
... statistics, data science, causal inference, synthetic data, and data integration. * Work as part of interdisciplinary project teams to interpret and cross-validate study findings, develop ...
Statistician
Washington, DC · On-site
$100K - $120K/yr
... statistics, data science, causal inference, synthetic data, and data integration. * Work as part of interdisciplinary project teams to interpret and cross-validate study findings, develop ...
Statistician
Washington, DC · On-site
$100K - $120K/yr
... statistics, data science, causal inference, synthetic data, and data integration. * Work as part of interdisciplinary project teams to interpret and cross-validate study findings, develop ...
Statistician
Washington, DC · On-site
$100K - $120K/yr
... statistics, data science, causal inference, synthetic data, and data integration. * Work as part of interdisciplinary project teams to interpret and cross-validate study findings, develop ...
Senior AWS Cloud Systems Architect
Suitland, MD · On-site
$69.75 - $91.50/hr
Statistical reproducibility * Design architectures that improve maintainability, scalability, observability, and performance. * Establish parallel validation and regression testing frameworks to ...
Quick apply
Senior AWS Cloud Systems Architect
Suitland, MD · On-site
$69.75 - $91.50/hr
Statistical reproducibility * Design architectures that improve maintainability, scalability, observability, and performance. * Establish parallel validation and regression testing frameworks to ...
Senior Statistical Programmer
Reston, VA · On-site +1
The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating, and documenting data analysis programs that generate analysis datasets, tables, figures, and ...
Senior Statistical Programmer
Reston, VA · On-site +1
The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating, and documenting data analysis programs that generate analysis datasets, tables, figures, and ...
Senior Statistical Programmer
Washington, DC · On-site +1
The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating, and documenting data analysis programs that generate analysis datasets, tables, figures, and ...
Senior Statistical Programmer
Washington, DC · On-site +1
The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating, and documenting data analysis programs that generate analysis datasets, tables, figures, and ...
Senior AWS Cloud Systems Architect
Suitland, MD · Hybrid
$69.75 - $91.50/hr
Statistical reproducibility * Design architectures that improve maintainability, scalability, observability, and performance. * Establish parallel validation and regression testing frameworks to ...
Senior AWS Cloud Systems Architect
Suitland, MD · Hybrid
$69.75 - $91.50/hr
Statistical reproducibility * Design architectures that improve maintainability, scalability, observability, and performance. * Establish parallel validation and regression testing frameworks to ...
AI/ML Data Scientist - MLOps, Quantitative, Statistics
Washington, DC · On-site
$140 - $190/hr
Design, develop, validate, and document AI/ML models and applications * Build production-grade ... Strong experience in statistical modeling, machine learning, AI, and applied analytics. * Advanced ...
New
AI/ML Data Scientist - MLOps, Quantitative, Statistics
Washington, DC · On-site
$140 - $190/hr
Design, develop, validate, and document AI/ML models and applications * Build production-grade ... Strong experience in statistical modeling, machine learning, AI, and applied analytics. * Advanced ...
New
Validates outsourced datasets provided by vendors and performs ad hoc analyses as needed ... Bachelor's degree in Life Sciences, computer science, mathematics, statistics, or a related ...
Validates outsourced datasets provided by vendors and performs ad hoc analyses as needed ... Bachelor's degree in Life Sciences, computer science, mathematics, statistics, or a related ...
... validate findings. * Collaborate with the Data Entry Assistant to ensure data accuracy and ... D. in Statistics, Biostatistics, or related field. * Minimum of 3-5 years' experience in ...
... validate findings. * Collaborate with the Data Entry Assistant to ensure data accuracy and ... D. in Statistics, Biostatistics, or related field. * Minimum of 3-5 years' experience in ...
RF Engineer
Washington, DC · On-site
Perform Plan of Record (POR) analysis by receiving coverage and capacity POR statistics and shapefiles, loading and validating them in ESRI, computing state and national coverage areas (rural/non ...
Quick apply
RF Engineer
Washington, DC · On-site
Perform Plan of Record (POR) analysis by receiving coverage and capacity POR statistics and shapefiles, loading and validating them in ESRI, computing state and national coverage areas (rural/non ...
RF Engineer
Washington, DC · On-site
Perform Plan of Record (POR) analysis by receiving coverage and capacity POR statistics and shapefiles, loading and validating them in ESRI, computing state and national coverage areas (rural/non ...
RF Engineer
Washington, DC · On-site
Perform Plan of Record (POR) analysis by receiving coverage and capacity POR statistics and shapefiles, loading and validating them in ESRI, computing state and national coverage areas (rural/non ...
Validation Engineer I
Rockville, MD · On-site
Develops and conducts statistical analyses, including Design of Experiments (DOE) and Statistical Process Controls (SPC) to evaluate and improve manufacturing processes. * Leads pre-validation ...
Validation Engineer I
Rockville, MD · On-site
Develops and conducts statistical analyses, including Design of Experiments (DOE) and Statistical Process Controls (SPC) to evaluate and improve manufacturing processes. * Leads pre-validation ...
... that apply valid scientific techniques and utilize information obtained from baselines or ... data for statistical modeling and graphic analysis (metrics). • Develops computer code to ...
... that apply valid scientific techniques and utilize information obtained from baselines or ... data for statistical modeling and graphic analysis (metrics). • Develops computer code to ...
Develop, validate, and maintain predictive models, simulation models, and analytical methodologies ... Minimum of 5 years of experience performing statistical analysis, statistical modeling, simulation ...
Develop, validate, and maintain predictive models, simulation models, and analytical methodologies ... Minimum of 5 years of experience performing statistical analysis, statistical modeling, simulation ...
Develop, validate, and maintain predictive models, simulation models, and analytical methodologies ... Minimum of 5 years of experience performing statistical analysis, statistical modeling, simulation ...
Quick apply
Develop, validate, and maintain predictive models, simulation models, and analytical methodologies ... Minimum of 5 years of experience performing statistical analysis, statistical modeling, simulation ...
Develop, validate, and maintain predictive models, simulation models, and analytical methodologies ... Minimum of 5 years of experience performing statistical analysis, statistical modeling, simulation ...
Develop, validate, and maintain predictive models, simulation models, and analytical methodologies ... Minimum of 5 years of experience performing statistical analysis, statistical modeling, simulation ...
Statistics Validator information
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 is the difference between Statistics Validator vs Data Analyst?
| Aspect | Statistics Validator |
|---|
| Required Credentials | Typically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common |
|---|
| Work Environment | Primarily office-based, working with data validation processes, quality assurance, and compliance |
|---|
| Employer & Industry | Financial 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.
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.
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 experience through internships or entry-level roles in data validation or quality assurance can also be beneficial. Certifications such as the Certified Data Management Professional (CDMP) or relevant training can enhance qualifications for this role.
Is a statistics validator job in demand?
Statistics validator roles are in steady demand across industries that rely on data accuracy, such as finance, healthcare, and research organizations. These positions often require strong analytical skills and familiarity with statistical software, with demand driven by the increasing importance of data integrity and quality assurance.
What are popular job titles related to Statistics Validator jobs in Washington? For Statistics Validator jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Washington look for? The top searched job categories for Statistics Validator jobs in Washington are:
What cities in Washington are hiring for Statistics Validator jobs? Cities in Washington with the most Statistics Validator job openings:
Full-time
Medical, Dental, Vision
Re-posted 7 days ago
Job description
Job Title: Data Engineer
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
BLN24 is seeking a mid-level Data Engineer to support a large-scale data and analytics platform modernization effort for a federal statistical agency client. This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze that data once it's available).
The ideal candidate is equally comfortable writing production-grade ingestion and
transformation code as they are designing and validating a statistical or ML model.
This role works closely with SMEs across multiple program areas to understand source data, build reliable ETL/ingestion pipelines, and apply analytical methods - anomaly detection, statistical modeling, and machine learning - to support operational decision-making.
Key Responsibilities:
Data Engineering
Data Science / Statistics & ML
Required Qualifications:
Preferred Qualifications:
Work Environment:
What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
BLN24 is seeking a mid-level Data Engineer to support a large-scale data and analytics platform modernization effort for a federal statistical agency client. This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze that data once it's available).
The ideal candidate is equally comfortable writing production-grade ingestion and
transformation code as they are designing and validating a statistical or ML model.
This role works closely with SMEs across multiple program areas to understand source data, build reliable ETL/ingestion pipelines, and apply analytical methods - anomaly detection, statistical modeling, and machine learning - to support operational decision-making.
Key Responsibilities:
Data Engineering
- Design, build, and maintain ETL/ELT pipelines to ingest data from multiple source systems into the platform's central data store
- Develop and maintain data ingestion workflows for both batch and near-real-time sources
- Implement data validation, cleaning, and transformation logic to ensure data quality and consistency across pipelines
- Work within a modern lakehouse/cloud data architecture, optimizing pipeline performance and reliability
- Build and maintain data models and schemas that support downstream analytics and reporting needs
- Monitor pipeline health, troubleshoot failures, and implement logging/alerting for data quality issues
- Document data lineage, transformation logic, and pipeline architecture for governance and reproducibility
Data Science / Statistics & ML
- Apply classical statistical methods (hypothesis testing, regression, time-series analysis, distributional comparisons) to identify trends, anomalies, and outliers in operational data
- Design and implement benchmarking approaches that compare production data against historical, modeled, or external reference values
- Develop and evaluate machine learning models where appropriate, balancing predictive performance with interpretability for non-technical stakeholders
- Investigate flagged anomalies by digging into underlying data to identify root causes and contributing factors
- Work with SMEs to translate operational questions into analytical approaches, and clearly communicate statistical/ML findings and their limitations
- Account for data sensitivity classifications and governance requirements when designing analyses and models
- Collaborate with visualization-focused team members to ensure outputs of statistical/ML work are presented clearly to stakeholders
Required Qualifications:
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent experience)
- 3-5 years of experience spanning both data engineering and data science/statistical analysis
- Strong proficiency in Python, including experience with data engineering libraries (e.g., pandas, PySpark) and statistical/ML libraries (e.g., scikit-learn, statsmodels)
- Hands-on experience building and maintaining ETL/ELT pipelines, including ingestion, transformation, and validation logic
- Solid grounding in classical statistical methods (hypothesis testing, regression, distributional analysis) and practical machine learning techniques
- Experience working with SQL and relational/distributed data systems
- Ability to work within a federal data environment, including familiarity with data sensitivity tiers and access/disclosure constraints
- Strong communication skills, with the ability to explain technical/statistical concepts to non-technical stakeholders
Preferred Qualifications:
- Prior experience supporting federal statistical agencies or other federal data programs
- Familiarity with Databricks or modern lakehouse architectures (Spark, Delta Lake, etc.)
- Experience with workflow orchestration tools (e.g., Airflow, Databricks Workflows)
- Experience designing anomaly-detection or outlier-detection approaches beyond standard threshold-based methods
- Exposure to disclosure avoidance concepts or working with regulated/protected government data
- Experience working across multiple coding environments (Python, R, SAS) within the same analytics platform
- Background in requirements gathering or systems design for enterprise data platforms
Work Environment:
- Contract position supporting a federal agency data modernization engagement
- Collaborative, cross-functional environment working alongside data engineers, data scientists, architects, and program SMEs
- Requires U.S. citizenship and ability to obtain a public trust or other clearance/suitability determination typical of federal contractor engagements
What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
- You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
- Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.