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Full Time Data Science Jobs in Florida (NOW HIRING)

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

AEVEX

Program Data Science Analyst

Tampa, FL

This role blends deep data science expertise with program analysis, enabling the organization to ... Regular and reliable attendance on a full time basis [or in accordance with posted schedule]

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

This role blends deep data science expertise with program analysis, enabling the organization to ... Regular and reliable attendance on a full time basis [or in accordance with posted schedule]

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Lorven Technologies

Data Scientist

Tampa, FL · On-site

Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

Maximus

Chief Data Scientist

Tampa, FL · On-site

General information Job Posting Title Chief Data Scientist Date Thursday, May 7, 2026 City Tampa State FL Country United States Working time Full-time Description & Requirements We are seeking a ...

University of Florida

Data Scientist I

Gainesville, FL · On-site

$61K/yr

Staff Full-Time Location: Main Campus (Gainesville, FL) Categories: Computer Science, Agricultural ... Data Scientist I Classification Minimum Requirements A Bachelor's Degree in data science ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits. Minimum Qualifications: * Master's degree in data science, computer ...

ManTech International

Data Scientist

Tampa, FL · On-site

... Type Full time Description & Requirements Elevate your career with MANTECH International ... Master's degree in Data Science, Applied Mathematics, Statistics, Physics, or Computer Science.

Prescient Edge

Data Scientist

Doral, FL · On-site

Job Title Data Scientist Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required None ...

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All JobsData Science JobsFull Time Data Science JobsFull Time Data Science Jobs in Florida

Full Time Data Science information

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

Is 30 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is generally not a barrier if relevant skills and a strong portfolio are developed.

Is 40 too late for data science?

Full-time data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Are data science jobs still in demand?

Data science jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What jobs in the US pay 300,000 a year?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and industry expertise. These positions often require advanced degrees, strong programming skills, and leadership responsibilities, typically found in large corporations or tech firms.
What are the most commonly searched types of Data Science jobs in Florida? The most popular types of Data Science jobs in Florida are:
Full Time Data Science jobs near you
Infographic showing various Full Time Data Science job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer, Data Science, Full Time, Days, Monday- Friday 8:30 am-5pm

Public Health Trust of Dade Co

Miami, FL • On-site

$109K - $131K/yr

Full-time

Posted 2 days ago

Job description

Machine Learning Engineer, Data Science, Full Time, Days, Monday- Friday 8:30 am-5pm
Jackson Health System
Department: Data Science
Address: River Landing, 1611 NW 12th Ave, Miami, Florida, 33136
Shift details: Full-Time, Days, Hybrid
Why Jackson:
Jackson Health System is a nationally and internationally recognized academic medical system offering world-class care to any person who walks through our doors. For more than 100 years, Jackson has evolved into one of the world's top medical providers for all levels of care, no matter if it's for a routine patient visit or for a lifesaving procedure. With more than 2,000 licensed beds, we are also proud of our role as the primary teaching hospital for the University of Miami Miller School of Medicine. Here, the best people come together to deliver Jackson's mission for our diverse communities. Our employees are committed to providing the best CARE by demonstrating compassion, accountability, respect, and expertise in everything we do.Miami, FL | Full-Time Data Science
Job Summary
The Machine Learning Engineer designs, develops, deploys, and supports production AI/ML solutions, including predictive machine learning models, generative AI, and intelligent applications, across the enterprise. Serving as an independent technical contributor within the data science department of a large public health system, this role owns projects end-to-end, supporting clinical, operational, financial, and administrative functions. The Machine Learning Engineer partners with teammates and stakeholders to independently define, design, and implement AI/ML solutions addressing business and clinical needs. Exercising sound independent judgment with minimal supervision, this highly technical role utilizes advanced Python programming, cloud-based platforms, and modern AI engineering to drive intelligent software solutions while ensuring the responsible, secure, and compliant use of AI/ML technologies. This role also drives technical excellence through peer leadership, rigorous design reviews, and collaborative knowledge sharing among a highly experienced engineering team.
Duties and Responsibilities
  • Translates business, operational, and clinical needs into scalable AI/ML solutions through direct engagement with stakeholders.
  • Builds scalable data pipelines by integrating, cleansing, and transforming structured and unstructured healthcare and enterprise data sources (e.g., EHR, claims, policies, operational data, imaging, and clinical notes).
  • Designs and develops AI/ML-powered applications and intelligent software solutions using modern techniques such as retrieval-augmented generation (RAG), large language models, agentic workflows, semantic search, and other emerging AI capabilities where appropriate.
  • Develops and maintains AI/ML solutions on enterprise cloud data and AI/ML platforms following organizational security and governance standards.
  • Designs, evaluates, and optimizes prompts, retrieval strategies, workflows, and evaluation frameworks to improve AI/ML application quality, reliability, and safety.
  • Evaluates model performance, explainability, robustness, and operational reliability using Python and related tools.
  • Supports production AI/ML services, automation pipelines, and operational incidents in accordance with established service level expectations.
  • Maintains technical documentation and version control (e.g., Git) for AI/ML applications, models, workflows, code, and operational procedures.
  • Drives technical excellence across a team of advanced engineers through strong peer influence, rigorous code and architecture reviews, and knowledge sharing. Acts as a subject matter expert, cross-training peers on emerging techniques and educating clinical/business stakeholders on AI/ML capabilities.
  • Performs other related duties as assigned.

Required Qualifications:
Experience
  • Generally requires 3 to 5 years of related experience. At least 1 year of experience in Python, SQL, and Linux in support of AI/ML engineering and data analytics is required.
  • Experience with statistical analysis and data gathering is required.
  • Experience with enterprise cloud data and AI platforms (e.g., Snowflake) and modern AI services is strongly preferred.
  • Experience working with structured and unstructured healthcare data or in a clinical/hospital environment is preferred.

Education
  • Bachelor's degree in related field is required.
  • Master's degree is preferred.

Skill
  • Ability to analyze, organize and prioritize work accurately while meeting multiple deadlines.
  • Ability to communicate effectively in both oral and written form.
  • Ability to handle difficult and stressful situations with critical thinking and professional composure.
  • Ability to understand and follow instructions.
  • Ability to exercise sound and independent judgment.
  • Knowledge and skill in use of job appropriate technology and software applications.

Credentials
  • Valid license or certification is required as needed, based on the job or specialty.

Jackson Health System is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law

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