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Director Statistician information

See Florida salary details

$30.3K

$62.5K

$87.4K

How much do director statistician jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director statistician 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 a director statistician?

Director Statisticians are senior-level professionals who oversee statistical analysis and data interpretation within an organization. They lead teams of statisticians and data analysts, ensuring the quality and integrity of statistical methodologies used in projects such as clinical trials, market research, or business analytics. Their responsibilities include designing studies, developing statistical models, providing strategic guidance, and communicating findings to stakeholders. Director Statisticians often collaborate with other departments to support data-driven decision-making and ensure compliance with regulatory standards.

What are the key skills and qualifications needed to thrive as a director statistician?

To thrive as a Director Statistician, you need advanced expertise in statistical methodologies, a graduate degree in statistics or a related field, and significant experience in data analysis and project leadership. Proficiency with statistical software such as SAS, R, or Python, as well as familiarity with data management systems and regulatory standards, is essential. Exceptional communication, strategic thinking, and team management skills help set top performers apart. These competencies ensure rigorous data-driven decision-making, effective leadership of statistical teams, and successful execution of complex projects.

How does a director statistician typically collaborate with cross-functional teams within an organization?

A Director Statistician frequently works alongside clinical, regulatory, and data management teams to design studies, analyze results, and ensure statistical integrity across projects. They play a key role in translating complex statistical findings into actionable insights for non-technical stakeholders, often leading meetings and presenting data-driven recommendations. Effective collaboration and communication are crucial in this role, as it bridges the gap between technical analysis and business objectives, ensuring that statistical best practices are integrated throughout the organization’s decision-making process.

What is the difference between Director Statistician vs Senior Statistician?

AspectDirector StatisticianSenior Statistician
CredentialsMaster's or PhD in Statistics, Data Science, or related field; extensive experienceMaster's degree; several years of experience in statistics
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on statistical analysis, project execution
Employer & IndustryResearch institutions, large corporations, healthcare, financeResearch firms, analytics departments, biotech, finance
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project management, experience

The main difference between a Director Statistician and a Senior Statistician lies in their scope of responsibilities. The Director typically leads teams, sets strategic goals, and oversees multiple projects, requiring extensive experience and advanced credentials. The Senior Statistician focuses on executing complex analyses and supporting project teams. Both roles are vital in data-driven industries, but the Director holds a higher-level leadership position.

What are the most commonly searched types of Statistician jobs in Florida?

The most popular types of Statistician jobs in Florida are:

What are popular job titles related to Director Statistician jobs in Florida?

For Director Statistician jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Director Statistician jobs in Florida look for?

The top searched job categories for Director Statistician jobs in Florida are:

What cities in Florida are hiring for Director Statistician jobs?

Cities in Florida with the most Director Statistician job openings:

Director Statistician jobs near you
Infographic showing various Director Statistician job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Hybrid job distribution, with an average salary of $62,516 per year, or $30.1 per hour.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Port Saint Lucie, FL • On-site

$125K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Identify and assess the validity and reliability of relevant data sources and retrieve structured and unstructured data for data science projects.

  • Clean, transform, combine, and integrate data from multiple sources to prepare data for analysis.

  • Apply data-mining process models and statistical methods to analyze data, evaluate results, and support program or business decisions.

Internal Revenue Service rating

7.3

Company rating: 7.3 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

177th of 297 rated public sector bodies

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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