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Statistical Engineering Jobs in Reston, VA (NOW HIRING)

Ra

Marketing Analytics Manager

Arlington, VA · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Washington, DC · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Senior Manager

Washington, DC

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Reston, VA

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 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 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.
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What cities near Reston, VA are hiring for Statistical Engineering jobs? Cities near Reston, VA with the most Statistical Engineering job openings:
Statistical Engineering jobs near you

Statistical Analyst, Education & Employment (Remote Eligible)

Mathematica

Washington, DC • On-site, Remote

Full-time

Re-posted 19 days ago

Job description

Mathematicaapplies expertise at the intersection of data, methods, policy, and practice toimprove well-being around the world. We collaborate closely with public- andprivate-sector partners to translate big questions into deep insights thatimprove programs, refine strategies, and enhance understanding. Our work yieldsactionable information to guide decisions in wide-ranging policy areas, fromhealth, education, early childhood, and family support to nutrition,employment, disability, and international development. Mathematica offers ouremployees competitive salaries, and a comprehensive benefits package, as wellas the advantages of being 100 percent employee owned. As an employee stockowner, you will experience financial benefits of ESOP holdings that haveincreased in tandem with the company's growth and financial strength. You willalso be part of an independent, employee-owned firm that is able to define andfurther our mission, enhance our quality and accountability, and steadily growour financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance
We are seeking a masters-level Statistical Analyst to joinour vibrant group of over 20 statisticians and data scientists. Thecontributions of our statisticians and statistical analysts underpin ourability to produce crucial evidence for policy and decision makers, ultimatelyfurthering our mission to improve public well-being. For example, ourstatistical analysts have contributed to projects developing COVID-19 decisiontools, extending state-of-the-art methods for identifying treatment effectheterogeneity to enhance primary care delivery, and leveraging Bayesianfactorial design to improve the presentation of school choice information tolow-income parents.

Statistical Analysts will support projects within our Education & Employment(EE) portfolios.

As part of their employment, statistical analysts benefit from thementorship of more senior statisticians and subject-matter experts, learningnew techniques and familiarizing themselves with new topic areas throughinvolvement in analyses.
Responsibilities:
Analysis:
Apply statistical and quantitative methods to evaluate and improve social programs and policies, with the oversight of more senior statisticians. Assist in designing rigorous studies, determining appropriate analytic methods, selecting survey samples, calculating nonresponse adjustments, analyzing survey responses, and interpreting findings.
Programming:
Write programs to perform all stages of quantitative analysis, including: (1) conduct data extraction, cleaning, and manipulation, (2) apply advanced statistical and quantitative techniques appropriate for both survey and administrative data, and (3) develop programs to calculate descriptive statistics, populate tables, and visualize results.
Communication:
Draft sections of reports, including technical appendices, and presentations for colleagues, policymakers and other stakeholders. Communicate findings to internal project teams via memos, presentations, or markdown files.

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