ZipRecruiter

Log In

1

Statistical Engineering Jobs in Florida (NOW HIRING)

Ra

Marketing Analytics Senior Manager

Miami, FL

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Senior Manager

Tampa, FL

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Tallahassee, FL

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Tampa, FL

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Miami, FL

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

MMS

Study Design Statistician (US)

Miami, FL · On-site

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

next page

Showing results 1-20

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Florida

Statistical Engineering information

See Florida salary details

$52.1K

$61.1K

$68.2K

How much do statistical engineering jobs pay per year?

As of Aug 1, 2026, the average yearly pay for statistical engineering in Florida is $61,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $65,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Florida? For Statistical Engineering jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Florida look for? The top searched job categories for Statistical Engineering jobs in Florida are:
What cities in Florida are hiring for Statistical Engineering jobs? Cities in Florida with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Florida as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $61,103 per year, or $29.4 per hour.

Statistical Programmer II

Ruri Software Technologies LLC

Tampa, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role: Statistical Programmer II
Location : Tampa, Florida
Job Duties:
Roles and responsibilities she perfomed as a Statistical Programmer I/ Sas Programmer I from
Sep2019 - Jan2021 Includes the follows:
Provide statistical programming support for the reporting of clinical trial results of Phase 1
and Phase 2
Experience working with systems used within the Clinical Trial process.
Generated program as per STDM standards and Documentation of SAS code, log, Output
and report as per SOP guidelines.
Performed CDISC Mapping for Ongoing clinical trials and classified data into domains.
understanding with CDISC SDTM Implementation Guide v3.1.2/ v3.1.3 and SDTM
Model.
Proficient in generating clinical reports for safety analysis in the form of tables and listings.
Developed reports for safety as per study requirements debugging SAS errors and
identifying issues producing reports or analysis data sets and SAS data sets.
Roles and responsibilities she perfomed as a Statistical Programmer II/ Sas Programmer II from
feb2021 - Dec2022 Includes the follows:
Experienced in Writing statistical programs using SAS and R as per requests from internal
or external clients and reviewing the statistical analysis plan (SAP), SDRG and ADRG.
Handling of multiple Projects of client data to analyze Phase II and Phase III Clinical trials
data in various therapeutic areas like Hematology, endocrinology, Dermatology,
Gastroenterology, Immunology, Neurology and Virology to provide statistical
programming by using SAS tools such as SAS/MACROS, SAS/SQL and R experience for
the reporting of clinical trial results.
Involved in error handling, fixing bugs, and overcoming the challenges faced while
developing the code of specified structure of Tables and listings through creating Macros
and macro variables.
Experienced in data validation and data cleaning and worked understanding with CDISC
SDTM Implementation Guide v3.2/v3.3 and SDTM Model checks (through specifications) on
clinical trial datasets and QC of Statistical/ Programming outputs like Analysis Datasets and
aCRF (Case Report Form).
Experienced in creating reports using proc report and derived data sets (SDTM, CDISC,
ADAM) and Generated Define.xml output for FDA regulatory submissions.
Created efficacy customize reports for FDA regulatory submissions and develop to
maintain SAS programs to create SDTM and Adam datasets and created Tables and
Figures to support clinical trials.
Track clinical trial milestones for statistical programming deliverables.
Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and
international regulations, and participate in internal/external audits and regulatory
inspections as required.
Analyzed and validated data sets and SAS outputs with other programmer's outputs and
mockups in SAP using PROC COMPARE, PROC CONTENTS and PROC FREQ. Created
formats for the coded data and used PROC SQL for data validation.

Apply