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Applied Statistics Jobs in Virginia (NOW HIRING)

Torc Robotics

Safety Data Analyst

Blacksburg, VA · On-site +1

Strong background in applied statistics, safety analysis, risk estimation, or decision support. * Experience working with complex, real-world datasets rather than only clean or purely academic data.

Raytheon

Senior Data Scientist - Remote US

Richmond, VA · On-site

Experience applying quantitative techniques (normalization, standardization, applied statistics) to cleanse and explore large, complex data sets in preparation for further analysis. Qualifications We ...

New

Highspring

Manager, Data & Analytics

Mclean, VA

Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets. * Experience with any of the following ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets. * Experience with any of the following ...

Securiport LLC

Senior Data Scientist

Reston, VA · On-site

Incorporate field-inspection results back into the models to improve hit-rates over time. Required Qualifications * 5+ years of experience in data science, quantitative analytics, applied statistics ...

Daikin Applied

Quality Engineer II

Staunton, VA · On-site

$74K - $124K/yr

Daikin Applied is seeking a Quality Engineer . You will have the ability to make an impact and ... Document data obtained during quality reviews and use quality tools such as statistical process ...

Daikin Applied

Quality Assurance Supervisor

Staunton, VA · On-site

$80K - $136K/yr

Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor! Location: Staunton, VA - In-Office Your Responsibilities: * Apply statistical ...

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All JobsApplied Statistics JobsApplied Statistics Jobs in Virginia

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 are popular job titles related to Applied Statistics jobs in Virginia? For Applied Statistics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Applied Statistics jobs in Virginia look for? The top searched job categories for 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:
Applied Statistics jobs near you
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 Data Analyst

Torc Robotics

Blacksburg, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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
At Torc Robotics, our Safety Data Analysis team sits at the core of how we measure, understand, and continuously assess the safety performance of Torc Drive. This team blends engineering, statistics, and large-scale data analysis to transform complex, multi-modal datasets into actionable safety insights.
What You'll Do
  • Develop, implement, and refine safety performance indicators, thresholds, and targets to proactively identify, assess, and manage safety risk across on-road and simulation-based data sources.
  • Apply statistically sound methods to evaluate safety performance, quantify uncertainty, and support risk-based decision-making in complex, real-world operational contexts.
  • Develop automated, production-ready analysis workflows that support continuous safety monitoring, milestone gating, incident response, and safety performance evaluation.
  • Ensure performance monitoring approaches appropriately reflect real-world deployment exposure, evolving operational contexts, and relevant safety requirements.
  • Balance analytical rigor with timeliness to support high-consequence, time-sensitive decisions.
  • Evaluate data quality, uncertainty, bias, and limitations to ensure findings are statistically defensible and useful for decision-making.
  • Support data visualization, reporting, and communication strategies that help technical teams, safety stakeholders, and executives understand insights, tradeoffs, and limitations.
  • Partner cross-functionally with engineering, product, verification and validation, simulation, metrics implementation, and safety teams to integrate workflows and align on data-driven decisions.
  • Maintain strong documentation of analytical methods, assumptions, workflows, requirements, safety metrics, and outputs to support traceability, collaboration, and regulatory readiness.
  • Ensure continuity of knowledge through peer review, cross-training, shared analytical patterns, and reproducible workflows that reduce single-point dependencies.

What You'll Need to Succeed
Advanced degree in Data Science, Computer Science, Math, or a closely related field:
  • B.S. with 5+ years of experience, or
  • M.S. with 3+ years of experience, or
  • PhD with 1+ years of experience
  • Proven experience in mechanical engineering, vehicle engineering, autonomous systems, robotics, or physics-based applications.
  • Experience with vehicle and sensor systems, cloud-based data technology, data visualization, and statistical analytics.
  • Strong background in applied statistics, safety analysis, risk estimation, or decision support.
  • Experience working with complex, real-world datasets rather than only clean or purely academic data.
  • Experience working with large-scale time-series data, vehicle data, sensor data, structured safety datasets, or other heterogeneous technical data sources.
  • Proficiency in programming languages, particularly Python and SQL.
  • Familiarity with agile development practices and continuous integration/deployment, including CI/CD workflows.
  • Strong time management and organizational skills with the ability to prioritize tasks effectively.
  • Excellent problem-solving skills with the ability to dissect complex issues and develop practical, creative solutions.
  • Ability to communicate statistical and technical concepts clearly to diverse teams and stakeholders.
  • Experience working in distributed teams and collaborating across different time zones.

Bonus Points
  • Background applying statistics to engineering or physics-based systems.
  • Familiarity with time-series analysis, uncertainty quantification, rare-event modeling, or reliability analysis.
  • Experience supporting executive, regulatory, or external stakeholder decision-making.
  • Experience in simulation evaluation, scenario coverage analysis, or safety-critical system verification.

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)
  • 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: 102867
Hiring Range for Job Opening
US Pay Range
$126,100-$151,300 USD

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