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Applied Statistics Jobs in Florida (NOW HIRING)

Opendoor is on a mission to enhance homeownership and is seeking an Applied Scientist to innovate ... science, statistics, mathematics, or a related quantitative field • Solid foundation in ...

The Statistics MS degree offers five concentrations (Actuarial, Applied, Biostatistics, Data Science, and Mathematical Statistics). The Department also teaches basic statistics courses for many major ...

The Statistics MS degree offers five concentrations (Actuarial, Applied, Biostatistics, Data Science, and Mathematical Statistics). The Department also teaches basic statistics courses for many major ...

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

About the Role We're looking for an Applied Scientist ( ALL LEVELS ) to push the boundaries of ... Solid foundation in statistics and experimental design * Strong communication and collaboration ...

Works with cross-functional teams and leverages advanced analytics, applied statistics, AI and ML techniques to drive business insights and optimize operations. Responsibilities The list of essential ...

Showing results 41-60

Applied Statistics information

See Florida salary details

$30.3K

$62.5K

$87.4K

How much do applied statistics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for applied statistics in Florida is $62,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $86,700.00 per year, depending on experience, location, and employer.

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.

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 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.

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 most commonly searched types of Applied Statistics jobs in Florida?

The most popular types of Applied Statistics jobs in Florida are:

What are popular job titles related to Applied Statistics jobs in Florida?

For Applied Statistics jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Applied Statistics jobs?

Cities in Florida with the most Applied Statistics job openings:

Infographic showing various Applied Statistics job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $62,516 per year, or $30.1 per hour.

J39 Intelligence Support to Information Operations (ISIO) Analyst / Journeyman

Strategic Solutions Unlimited Inc

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Job description

Duties and Responsibilities:
  • Provide direct support through the analysis of information operations intelligence relative to political, economic, social, cultural, physical, geographic, technical, or military issues.
  • Support SOCCENT in establishing the intelligence baseline required to effectively integrate Information Operations (IO) into operations.
  • Provide analytical support to current and future operations by effectively supporting senior level engagements involving IO and planning.
  • Prepare full spectrum studies concerning vital and fundamental intelligence topics related to the USCENTCOM AOR.
  • Provide analytical support to SOCCENT operations by supporting senior level engagements involving IO planning.
  • Conduct IO Intelligence Preparation of the Environment and assist IO and Psychological Operations (PSYOP) planners in developing Measures of Effectiveness.
  • Input IO intelligence requirements into collection systems; support SOCCENT in managing IO intelligence requirements.
  • Prepare briefs, information papers, and presentations as required utilizing Microsoft Office family of products (i.e. Outlook, PowerPoint, Word, Excel and Access).
  • Develop and maintain an electronic resource, to include key points of contact, to be used for mission continuity that may be accessed by all stakeholders.
  • May perform travel CONUS/OCONUS (TDY status, attend conferences, planning efforts, OPTs with appropriate clearance levels, and exercises) as required and remain fully qualified and current with all specified / required training.
  • Qualifications:
  • At least a BA/BS in one of these Disciplines: Social Sciences, Public Policy, Applied Statistics, Operations Research, or Systems Analysis
  • Joint Professional Military Education Level I or Service Equivalent (i.e. Command and General Staff College; Air Command and Staff College, etc.)
  • At least 3 years strategic and operational planning and analysis
  • At least 3 years’ experience in any of the following: in CENTCOM AOR; MISO; MILDEC; CWMD; ORSA; CYBER; AT/FP; SNA; Special Programs; Interagency Experience
  • Equivalent combinations of at least 5 years of SOF operational experience and education.
  • Benefits:
  • Competitive Salary
  • 401K Matching Plan
  • PTO and Holiday
  • Medical, Dental and Vision Insurance
  • Employee Referral Bonus
  • If you are interested in a well-compensated, empowered, and fulfilling position, while making a positive impact at a high level of significance, we encourage you to apply or submit your resume/cv to resumes@ssuinc.us.

    SSU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.