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Data Science Phd Jobs in Florida (NOW HIRING)

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Data Scientist Lead

Tampa, FL ยท On-site

$140 - $200/hr

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Associate Data Scientist

Fort Myers, FL ยท On-site +1

$55K - $55K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

New

Associate Data Scientist

Fort Myers, FL ยท On-site

$55K - $55K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

New

We are looking for a Senior Marketing Data Scientist to join the team. You will lead the technical ... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science ...

Data Scientist III

Clearwater, FL ยท On-site

$120 - $190/hr

Master's or PhD in a quantitative field (Computer Science, Data Science, Operations Research, Statistics, Econometrics, Industrial Engineering, Economics, or similar), or equivalent applied ...

Data Scientist. Orlando, FL Full Time Position Need GC and USC This person will be responsible for ... Masters or PhD (preferred PhD) Additional Information If you are interested please share your ...

SCIENTIST II

Tampa, FL ยท On-site

$74.10 - $120.70/hr

This role is designed for an early-career researcher who recently completed (preferably within the last 10 years) a PhD in biomedical informatics, computing, data science, artificial intelligence, or ...

New

Showing results 21-40

Data Science Phd information

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What can I do with a data science PhD?

A data science PhD prepares individuals for advanced roles in research, analytics, and machine learning across industries such as technology, finance, healthcare, and academia. Graduates can work as data scientists, machine learning engineers, research scientists, or data analysts, often utilizing programming languages like Python or R and tools such as TensorFlow or SQL. The degree also enables roles involving complex data modeling, statistical analysis, and developing innovative data-driven solutions.

What cities in Florida are hiring for Data Science Phd jobs?

Cities in Florida with the most Data Science Phd job openings:

Infographic showing various Data Science Phd job openings in Florida as of August 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% In-person job distribution.

Data Scientist with Security Clearance

TEKsystems c/o Allegis Group

Tampa, FL โ€ข On-site

Contractor

Posted 10 days ago


Job description

Job Title
Data Scientist (Active TS Clearance Required)
Location
Onโ€‘site Tampa / Secure Facility (No remote work on classified systems)
Clearance Requirement
Active Top Secret (TS) clearance required at start
SCI eligibility preferred (program dependent)
U.S. Citizenship required
Role Overview
The Data Scientist supports missionโ€‘critical government programs by collecting, analyzing, and modeling complex structured and unstructured data in classified environments. This role partners closely with mission stakeholders, engineers, and analysts to generate actionable insights that support national security objectives. The position emphasizes advanced analytics, statistical modeling, and machine learning while operating within strict security and dataโ€‘handling constraints. Key Responsibilities
Collect, clean, and analyze large, complex datasets from multiple classified and unclassified sources
Design, develop, and validate predictive and statistical models to identify patterns, trends, and anomalies
Apply machine learning techniques to operational, intelligence, or mission data
Build and maintain data pipelines and automated analytic processes in secure environments
Conduct exploratory data analysis and experimental design to answer missionโ€‘driven questions
Develop data visualizations, dashboards, and briefings for technical and nonโ€‘technical stakeholders
Collaborate with data engineers, software engineers, and mission analysts to integrate analytics into operational workflows
Ensure compliance with DoD, IC, and customer data governance, security, and classification standards
Document methodologies, models, and findings in accordance with government reporting requirements Required Qualifications
Active Top Secret (TS) security clearance
Bachelorโ€™s degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related field
Strong working knowledge of:
Statistics and probability
Machine learning and predictive modeling
Data mining and feature engineering
Proficiency in Python and/or R for data analysis and modeling
Experience working with SQL and relational data sources
Ability to communicate complex analytic results clearly to mission and leadership audiences
Experience operating in secure or restricted computing environments Preferred Qualifications
Masterโ€™s or PhD in a quantitative discipline
Experience supporting DoD, IC, SOCOM, or federal civilian agencies
Familiarity with:
Cloud or hybrid analytics environments (where permitted)
Big data frameworks (e.g., Spark)
Geospatial, sensor, or intelligence data
Experience building scalable analytic solutions under mission time constraints
Prior work on classified programs or in SCIF environments
Core Skills
Advanced statistical modeling and analysis
Machine learning model development and validation
Data visualization and storytelling
Critical thinking and problem solving
Crossโ€‘functional collaboration in mission environments
Strong documentation and briefing skills