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Phd Computer Science Jobs in Florida (NOW HIRING)

Master's degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field. * Demonstrated knowledge of IT service management best practices and their ...

Master's degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field. * Demonstrated knowledge of IT service management best practices and their ...

New

Senior Information Systems Engineer

Niceville, FL · On-site

$96K - $132K/yr

... PhD) in a computer science program + 5 years Relevant Experience Preferred : • Top Secret clearance • Master of Science (MS) in an ABET-accredited computer science program + 8 years Relevant ...

PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field * Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field * Experience with real-time ML systems and feature stores * Background in recommendation systems or ...

Showing results 21-40

Phd Computer Science information

See Florida salary details

$42.2K

$62.1K

$73.2K

How much do phd computer science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for phd computer science in Florida is $62,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $69,900.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What cities in Florida are hiring for Phd Computer Science jobs? Cities in Florida with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Florida as of August 2026, with employment types broken down into 9% Internship, 69% Full Time, 13% Part Time, and 9% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $62,106 per year, or $29.9 per hour.

Senior Data Scientist with Security Clearance

MANTECH

Miami, FL • On-site

Other

Posted 3 days ago

New


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Doral, FL. Responsibilities include but are not limited to: * Lead the development and implementation of innovative data strategies and frameworks, driving data-driven decision-making and organizational learning
* Provide expert guidance and mentorship to other Data Scientists and Analysts, fostering a culture of data literacy and collaboration across the organization
* Lead the design and implementation of complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting
* Conduct advanced data analysis and modeling, using cutting-edge statistical techniques, data mining, and machine learning algorithms to uncover hidden patterns, trends, and correlations within large data sets
* Develop predictive models, conduct simulations, and perform statistical analysis to provide actionable insights that drive strategic initiatives, optimize program performance, and support informed decision-making
* Create sophisticated reports, dashboards, and visualizations to effectively communicate complex data findings and insights to stakeholders at all levels of the organization
* Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the data science community through publications, presentations, and participation in industry events, sharing knowledge and expertise to advance the field
Minimum Qualifications: * Four (4) years of relevant experience in data science, data analytics or in a related role.
* Bachelor's degree in relevant field of study, Data Science, Data Analytics, Computer Science, Information Technology, etc.. A degree can be substituted for additional experience: High School Diploma and 4 years of additional experience or Associate's Degree and 2 years of additional experience.
* A relevant Master's degree is equivalent to 2 years of related experience. A relevant PhD is equivalent to 4 years of related experience.
* Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL), including experience with distributed computing frameworks (e.g., Hadoop, Spark).
* Experience with data visualization tools (e.g., Tableau, Power BI) and techniques, including the ability to create compelling data stories and presentations. Deep knowledge of data warehousing, Data Lake concepts, and data architecture principles. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and their associated data storage, processing, and analytics services.
* Demonstrated experience in developing and implementing data strategies and frameworks, aligning data initiatives with organizational goals and objectives. Strong understanding of data governance principles, best practices, and relevant data security and privacy regulations (e.g., GDPR, CCPA). Preferred Qualifications: * Master's degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
* Demonstrated knowledge of IT service management best practices and their integration with data science initiatives. Experience with Risk Management Framework (RMF) and its application to data security and privacy. Experience with Zero Trust Architecture principles and their implementation in data environments.
* Contributions to industry publications or presentations on data science topics, demonstrating thought leadership and a commitment to advancing the field. Active participation in professional data science communities and organizations.
* Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera Certified Professional Data Scientist (CCP:DS)). ITIL Foundation certificate.
* Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.
Clearance Requirements: * Must have a current/active Secret security clearance.
* Must be able to obtain and maintain a Top Secret with SCI eligibility.
Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

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