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Applied Statistics Jobs in Virginia (NOW HIRING)

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Marketing Analytics Manager

Arlington, VA

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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How much do applied statistics jobs pay per year?

As of Jul 14, 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.

Is AI replacing statisticians?

Applied statisticians use data analysis, modeling, and statistical tools to interpret data and inform decisions. AI can automate routine tasks and enhance data processing, but statisticians are needed to design experiments, validate models, and interpret complex results, making their role complementary rather than replaceable by AI.

What are typical projects or responsibilities for professionals in Applied Statistics?

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 do 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 to support decision-making. Professionals often use tools like R, Python, or SAS and may work in industries such as healthcare, finance, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is an Applied Statistics job?

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.

What does applied statistics do?

Applied statistics involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field collect, interpret, and present data to support decision-making, often utilizing tools like statistical software and programming languages such as R or Python.

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, statistical software, and critical thinking. Professionals in this field are in demand across industries such as healthcare, finance, and technology, with opportunities for advancement and specialization. The role typically involves working with large datasets and applying statistical methods to solve real-world problems.

What are the key skills and qualifications needed to thrive in the Applied Statistics position, and why are they important?

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 July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $82,939 per year, or $39.9 per hour.
Principal Research Scientist - AI/ML, Applied Statistics & Advanced Analytics

Principal Research Scientist - AI/ML, Applied Statistics & Advanced Analytics

Two Six Technologies

Arlington, VA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Principal Research Scientist - AI/ML, Applied Statistics & Advanced Analytics

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team and support our customers in building a safer global future.

Overview of Opportunity

Two Six Technologies is seeking a Principal Research Scientist to lead technical program delivery and drive business development in new R&D projects in AI/ML, applied statistics, and advanced analytics. The role may involve grey zone conflict, economics, cybersecurity, cognitive modeling, counter‑adversarial AI, and broader DoD challenges. A successful candidate will deliver technical excellence while identifying, pursuing, and winning new work for the team to grow into. They will also steward existing projects and staff to successful delivery. Candidates with experience and customer relations in other domains are encouraged to apply.

This research‑and‑development focused group seeks research leaders comfortable rapidly developing innovative solutions for customer needs and leading teams of PhDs, researchers, and engineers to innovate, develop, and deliver transformative capabilities for national security. Ideal candidates bring a critical and rigorous approach to research, modeling, and analysis; a strong understanding of trade‑offs between different modeling approaches; the ability to explain complex approaches clearly to technical and non‑technical audiences; and a flexible, creative approach to innovating for highly technical customers.

The work will be onsite in our Arlington, Virginia office.

Responsibilities
  • Perform as technical lead on interdisciplinary projects; mentor junior team members on both technical and non‑technical skills
  • Serve as a technical expert in a variety of AI, statistical, and analytics methodologies on a variety of programs and proposals
  • Identify, shape, and propose AI and advanced analytics programs, including building trusted relationships with sponsors, leading technical writing, and developing innovative solutions
Qualifications
  • Prior experience building capabilities for grey zone conflict or economic statecraft
  • Building predictive machine‑learning models for time‑series data
  • Mastery of multiple subfields and approaches within AI/ML and statistical analysis; demonstrates ability to reason over trade‑offs when choosing modeling approaches
  • Experience innovating with foundational model tools for rapid research acceleration
  • Ability to write and review R, Python, or SQL code; fluency and comfort with git, CI/CD practices
  • Experience winning and delivering new R&D programs while growing new capabilities in a team
  • Relationship with key personnel in DARPA, other DoD research agencies, and broader government or private‑sector sponsors
  • Experience developing and writing solutions for customers across a wide range of domains and applications
  • Collaboration across disciplines and business units to bring innovative AI and analytics solutions to support organization needs
  • Ten or more years of professional experience in a CS, Mathematics, Statistics or related field
  • Experience leading AI/analytics researchers (including PhDs), practitioners, and software engineers on government contracts
  • Experience in project planning, agile development, and a variety of sprint‑management methods
  • Strong and flexible communication that adapts to specific audience needs
  • Works well in and fosters a culture of respect, curiosity, humility and excellence
  • Active Top Secret with SCI‑eligible security clearance
Nice to Haves
  • Advanced degree and/or publications in CS, Mathematics, Statistics or related field
  • Experience working with ISR data and maritime track data
  • Experience integrating with Maven Smart System
  • Intellectual curiosity across multiple domains and success applying analytics to novel mission areas
  • Active TS/SCI clearance
Clearance Requirements
  • Active Top Secret / SCI‑eligible security clearance
Benefits

We offer competitive compensation packages, including medical, dental, and vision insurance; life and disability insurance; retirement benefits; paid leave; tuition assistance and professional development opportunities.

Equal Opportunity

Two Six Technologies is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, marital status, disability, genetic information, or veteran status. We comply with all applicable federal, state, and local laws.

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