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Applied Statistics Jobs (NOW HIRING)

University of St Thomas

Adjunct, Statistics

Saint Paul, MN · On-site

$5.9K - $6.7K/mo

Thomas's Computer and Information Sciences department invites applications for an Adjunct Faculty member to teach one or more applied statistics courses including introduction to statistics, applied ...

University of St Thomas

Adjunct, Statistics

Saint Paul, MN · On-site

$5.9K - $6.7K/mo

Thomas's Computer and Information Sciences department invites applications for an Adjunct Faculty member to teach one or more applied statistics courses including introduction to statistics, applied ...

University of Florida

Data Scientist I

Gainesville, FL · On-site

$61K/yr

Statistical consulting with faculty, staff, and graduate students on applied research projects in agriculture, natural resources, and life sciences. Consulting activities include helping researchers ...

KLA

Staff Statistician

Milpitas, CA · On-site

... applied statistics, probability modeling, and reliability analytics across KLA's product, engineering, and service organizations, influencing outcomes across multiple teams and programs.

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How much do applied statistics jobs pay per year?

As of Jul 22, 2026, the average yearly pay for 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.

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.

More about Applied Statistics jobs
What cities are hiring for Applied Statistics jobs? Cities with the most Applied Statistics job openings:
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Applied Statistics jobs near you
Infographic showing various Applied Statistics job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,657 per year, or $40.2 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 • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
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 involves delivering technical excellence, mentoring team members, and building relationships with sponsors to grow the team's capabilities.
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 to AI and advanced analytics programs, including building trusted relationships with sponsors, leading technical writing, and developing innovative solutions
Qualifications:
Required:
• Prior experience in building out capabilities that could support grey zone conflict or economic statecraft
• Building predictive machine learning models for time series data
• Mastery of several different subfields and approaches within AI/ML and statistical analysis; demonstrated ability to reason over the tradeoffs when choosing modeling approaches
• Demonstrated 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 in winning and delivering new R&D programs while growing new capabilities in a team
• Holds significant relationships with key personnel in DARPA, other DOD research agencies, and broader government or private-sector sponsors
• Experience developing and writing solutions for customers in a wide range of domains and applications
• Ability to collaborate across disciplines and business units to bring innovative AI and analytics solutions to support capabilities and needs across the organization
• Ten or more years of professional experience in a CS, Mathematics, Statistics or related field
• Experience leading both 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 the specific needs of the audience
• Works well in and fosters a culture of respect, curiosity, humility and excellence
• Active Top Secret with SCI-eligible security clearance
Preferred:
• 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 demonstrated success applying analytics to novel mission areas
• Active TS/SCI
Company:
Two Six Technologies provides cybersecurity and technology solutions for national security customers. Founded in 2017, the company is headquartered in Arlington, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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