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Statistical Engineering Jobs in Virginia (NOW HIRING)

ECS

Data Scientist

Springfield, VA · On-site

Experience using statistical programming languages such as Python to extract and manipulate data * Technical proficiency with transforming structured and unstructured data sets * Excellent ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries * Familiar with Data Engineering concepts * Familiar with 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 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.
What are popular job titles related to Statistical Engineering jobs in Virginia? For Statistical Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Virginia look for? The top searched job categories for Statistical Engineering jobs in Virginia are:
What cities in Virginia are hiring for Statistical Engineering jobs? Cities in Virginia with the most Statistical Engineering job openings:
Statistical Engineering jobs near you

Safety Statistician, III - Risk & Safety Analysis

Torc Robotics

Blacksburg, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
As a Safety Statistician - Risk & Safety Analysis, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems.
You will influence the design and execution of statistically rigorous analyses that inform safety assurance strategies, engineering priorities, and risk-based decision making. Your work will directly influence how safety performance and risk are measured, understood, and acted upon across the organization.
This is a technical role focused on applied statistics and decision support, not dashboarding, experimentation platforms, or generic ML product analytics.
What You'll Do
  • Employ statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk
  • Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets
  • Bridge safety and engineering teams by translating complex analyses into information engineers can act on
  • Develop automated, production-ready analysis workflows that support continuous safety monitoring
  • Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate
  • Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives

What You'll Need to Succeed
  • Advanced degree in Statistics or a closely related field
  • M.S. with 3+ years of experience, or
  • PhD with 1+ years of experience
  • Strong background in applied statistics, safety analysis, and risk estimation
  • Experience in autonomous vehicles, adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail, etc.), or comparable actuarial experience
  • Experience working with complex, real-world datasets rather than clean or purely academic data
  • Hands-on experience using Python for analysis (SQL and/or R a plus, but not required)
  • Ability to communicate statistical concepts clearly to non-statistical audiences
  • Comfort operating independently as a technical leader in a cross-functional, distributed environment
  • Domain knowledge in Bayesian methods

Bonus Points
  • Experience applying Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving)
  • Background applying statistics to engineering or physics-based systems
  • Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling
  • Experience supporting executive or external stakeholder decision-making requiring quick turnarounds, balancing analytical rigor with timeliness

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102792
Hiring Range for Job Opening
US Pay Range
$145,900-$175,100 USD

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