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Statistical Engineering Jobs in Reston, VA (NOW HIRING)

Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline * 12+ years of experience * 3+ years of software engineering experience with deep proficiency in Python

Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline * 12+ years of experience * 3+ years of software engineering experience with deep proficiency in Python

MS or PhD in Cognitive Psychology, Psychology, User Experience, Human Factors, Mathematics, Statistics, Engineering, or other related field * 5+ years of professional experience * Experience with HMT ...

Statistician/Mathematician

Herndon, VA · On-site

$112K - $179K/yr

Process large amounts of data for statistical modeling and graphic analysis/ metrics. * Develop software or work with developers to automate the collecting and processing of data. * Produce the ...

Process large amounts of data for statistical modeling and graphic analysis/ metrics. * Develop software or work with developers to automate the collecting and processing of data. * Produce the ...

Process large amounts of data for statistical modeling and graphic analysis/ metrics. * Develop software or work with developers to automate the collecting and processing of data. * Produce the ...

Process large amounts of data for statistical modeling and graphic analysis/ metrics. * Develop software or work with developers to automate the collecting and processing of data. * Produce the ...

Statistician/Mathematician

Herndon, VA · On-site

$112K - $179K/yr

Process large amounts of data for statistical modeling and graphic analysis/ metrics. * Develop software or work with developers to automate the collecting and processing of data. * Produce the ...

A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field * 5+ years of working experience in one of the ...

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Statistical Engineering information

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

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Reston, VA? For Statistical Engineering jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Reston, VA look for? The top searched job categories for Statistical Engineering jobs in Reston, VA are:
What cities near Reston, VA are hiring for Statistical Engineering jobs? Cities near Reston, VA with the most Statistical Engineering job openings:

Senior SAS/Python Model Validation and Modernization Developer

BLN24

Mclean, VA • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in achieving their mission and goals. They are seeking a Senior SAS/Python Model Validation and Modernization Developer to support statistical model validation and modernization efforts, focusing on migrating legacy SAS applications to Python-based solutions.
Responsibilities:
• Test, validate, and analyze statistical, predictive, and analytical models.
• Evaluate model performance and assess the impact of parameter, assumption, and business-rule changes.
• Conduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior.
• Analyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement.
• Review existing SAS applications, scripts, and macros and develop migration strategies to Python.
• Convert SAS code, workflows, and analytical processes into maintainable Python solutions.
• Compare and validate SAS and Python outputs to ensure functional equivalency and accuracy.
• Develop automated testing frameworks and validation processes for migrated applications.
• Perform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior.
• Create technical documentation, validation reports, migration plans, and process diagrams.
• Collaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions.
• Support modernization initiatives and continuous improvement of analytical systems and processes.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field.
• 4+ years of experience developing analytical solutions using SAS and Python.
• Strong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows.
• Strong Python programming skills, including experience with Pandas, NumPy, and SQL.
• Experience testing, validating, and analyzing statistical or predictive models.
• Experience conducting model performance evaluations and impact analyses.
• Experience migrating SAS applications, scripts, or workflows to Python.
• Strong understanding of algorithms, data analysis, and quantitative methodologies.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong communication and documentation skills.
• Ability to work independently and as part of a team.
• U.S. Citizenship required.
Preferred:
• Previous experience supporting the U.S. Census Bureau or other federal statistical agencies.
• Active or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance.
• Experience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs.
• Experience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Git, CI/CD pipelines, and containerized environments.
• Experience with SAS Viya and modern analytics platforms.
Company:
BLN24 is a digital agency that provides marketing, media production, and UX design services. Founded in 2006, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.