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Applied Statistics Jobs in Virginia (NOW HIRING)

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

Data Scientist

Fort Belvoir, VA · On-site

$160K - $190K/yr

Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience.

Lead AI and Data Science Engineer II

Richmond, VA · On-site

$101K - $133K/yr

Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative ...

Advanced experience in machine learning, applied statistics, data science, or artificial intelligence. * Demonstrated experience supporting full model lifecycle management in production analytics ...

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Applied Statistics information

See Virginia salary details

$40.2K

$82.9K

$116K

How much do applied statistics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied statistics in Virginia is $82,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What does an applied statistics do?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What is an applied statistics?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.

What can you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation using tools like R or Python. Graduates can work in industries like healthcare, finance, marketing, or technology, often requiring strong analytical skills and knowledge of statistical methods. Certifications in data analysis or machine learning can enhance job prospects.

What are the key skills and qualifications needed to thrive in applied statistics?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

What are the most commonly searched types of Applied Statistics jobs in Virginia? The most popular types of Applied Statistics jobs in Virginia are:
What cities in Virginia are hiring for Applied Statistics jobs? Cities in Virginia with the most Applied Statistics job openings:
Infographic showing various Applied Statistics job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,939 per year, or $39.9 per hour.

Safety Statistician, III - Risk & Safety Analysis

Torc Robotics

Blacksburg, VA • On-site

Other

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 (availableimmediately 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.Dependenton 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