2

Full Time Applied Statistics Jobs (NOW HIRING)

... full-time experience in biostatistical analysis, bioinformatics, or statistical research ... applied statistics and biomedical research. Key Responsibilities: โ€ข Support the Biostatistics ...

You'll work at the intersection of machine learning, statistics, economics, and product strategy ... full-time Ramp employees (Global) * Flexible PTO * Unlimited AI token usage * Centralized home ...

You'll work at the intersection of machine learning, statistics, economics, and product strategy ... full-time Ramp employees (Global) * Flexible PTO * Unlimited AI token usage * Centralized home ...

... full-time Biostatistician 3 to work in Miami, FL. The Biostatistician 3 provides advanced ... PhD in Biostatistics or closely related field (e.g., Epidemiology, Applied Statistics) preferred.

... full-time Biostatistician 3 to work in Miami, FL. The Biostatistician 3 provides advanced ... PhD in Biostatistics or closely related field (e.g., Epidemiology, Applied Statistics) preferred.

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Advanced experience in machine learning, applied statistics, data science, or artificial ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Advanced experience in machine learning, applied statistics, data science, or artificial ...

next page

Showing results 1-20

Full Time Applied Statistics information

See salary details

$40.5K

$83.7K

$117K

How much do full time applied statistics jobs pay per year?

As of Jul 10, 2026, the average yearly pay for full time applied statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Applied Statistics vs Data Analyst?

AspectFull Time Applied StatisticsData Analyst
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related fieldBachelor's degree in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, industry R&D teamsBusiness, marketing, finance departments
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Statistics roles, careers in statisticsData analysis jobs, data visualization roles

Full Time Applied Statistics professionals focus on developing statistical models, conducting research, and applying advanced statistical methods across various industries. Data Analysts typically interpret data, create reports, and support decision-making with data visualization tools. While both roles require strong analytical skills, Applied Statisticians often have more specialized training in statistical theory, whereas Data Analysts focus on data interpretation and presentation.

More about Full Time Applied Statistics jobs
What are the most commonly searched types of Applied Statistics jobs? The most popular types of Applied Statistics jobs are:
Infographic showing various Full Time Applied Statistics job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Applied Mathematician/Analyst

Bowhead

King George, VA โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Overview

Applied Mathematician/Analyst (E30-2026-24915):

Bowhead seeks an experienced Applied Mathematician / Analyst with expertise in advanced mathematical modeling, statistical analysis, physics, and software development.

***This position will require onsite work at the Bowhead office or Navy installation. ***

Responsibilities

The Applied Mathematician/Analyst requires a balanced skill set including mathematical modeling, software and tool development, and the ability to communicate insights clearly to diverse stakeholders. Skilled in solving complex, research & development / prototype problems using high-level mathematics to support critical U.S. defense mission objectives.

Job duties include but are not limited to:

  • Develop mathematical models, algorithms, and simulations to solve real-world, open-ended defense-related problems.
  • Leverage experience in mathematics and software development to design, implement, analyze, and deploy improvements for weapons systems extremely important to short and long-term effects on U.S. defense.
  • Apply advanced mathematics, physics, statistics, predictive modeling, and machine learning techniques to identify meaningful patterns and generate actionable insights from complex datasets.
  • Develop analysis software and tooling to enhance analysis abilities and speed integration of techniques developed in this position into real-world systems.
  • Use Modeling and Simulation to analyze performance of existing and new techniques on simulated and real-world data.
  • Design, create, verify, and document software components to deliver stakeholder value.
  • Present technical findings and insights in ways that are clear and impactful for both technical and non-technical audiences.
  • Manage and exploit internal and external data sets, ensuring integrity and value in data-driven operations.
Qualifications
  • Experience in pattern recognition, predictive analytics, Kalman filtering, statistical fitting, machine learning, mathematical modeling, and simulations.
  • Proficiency in software development with one or more modern, general-purpose programming languages (Java, Python, C/C#/C++, JavaScript, Ada).
  • Strong background in mathematical modeling, numerical methods, and computational tools (Python, MATLAB, R).
  • Bachelor's degree in Applied Mathematics, Mathematics, Physics, or related field is required.
  • Minimum 2 years of relevant experience in applied mathematics, or related fields (15+ years preferred for senior-level applicants).
  • U.S. Citizenship and ability to obtain and maintain a Secret security clearance.

Competencies

  • Strong analytical and problem-solving skills.
  • Ability to work independently or as part of a team.
  • Strong interpersonal, communication, and leadership skills; effective at interfacing with employees at all levels and external stakeholders.
  • Ability to communicate effectively in writing with technical/non-technical audiences.
  • Ability to manage multiple priorities and achieve mission objectives efficiently.

SECURITY CLEARANCE REQUIRED: Must be able to maintain a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location.

Physical Demands: Must be able to lift up to 25 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically

LI-BG1

Employment Type: FULL_TIME