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Computer Science Jobs in Naples, FL (NOW HIRING)

Teacher Science

Naples, FL · On-site

$44K - $58K/yr

Teacher, Science Minimum Requirements (Education/Experience) Bachelors degree with an emphasis in ... Basic computer skills required (i.e., ability to use email). Florida Teacher Certification.

Science Teacher

Naples, FL · On-site

$45K - $58K/yr

Science Teacher, Full-time (2026-2027 School Year) Reports to: Principal Location: St. John Neumann ... Proficiency with computer network systems and software programs * Ability to use technology to ...

New

Science Teacher

Naples, FL

$45K - $58K/yr

Proficiency with computer network systems and software programs * Ability to use technology to enhance student learning * Strong planning and organizational skills * Complete and pass a FDLE Level 2 ...

New

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Program Analyst

Bonita Springs, FL · On-site

$20 - $25/hr

International Affairs, Political Science, Engineering, Computer Science, Economics, Business, Intelligence Studies, National Security, or related discipline. * Experience researching emerging ...

New

Apply principles and techniques of computer science and computer engineering to build software and firmware to defend our nation's vital computer networks. PAY AND BENEFITS Our people are our most ...

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Computer Science information

See Naples, FL salary details

$53.2K

$78.3K

$92.3K

How much do computer science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for computer science in Naples, FL is $78,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $88,100.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.
What are the most commonly searched types of Computer Science jobs in Naples, FL? The most popular types of Computer Science jobs in Naples, FL are:
What are popular job titles related to Computer Science jobs in Naples, FL? For Computer Science jobs in Naples, FL, the most frequently searched job titles are:
What cities near Naples, FL are hiring for Computer Science jobs? Cities near Naples, FL with the most Computer Science job openings:

Manager of Data Science

CLA (CliftonLarsonAllen)

Naples, FL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
CLA (CliftonLarsonAllen) is a top 10 national professional services firm dedicated to creating opportunities for clients, people, and communities. They are seeking a Manager of Data Science to lead a team in constructing complex data solutions, overseeing AI initiatives, and ensuring high-quality delivery of analytical projects.
Responsibilities:
• Provide day‑to‑day leadership, coaching, development, and performance management.
• Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
• Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
• Build and sustain a high‑performing team culture rooted in collaboration, quality, accountability, and innovation.
• Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
• Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
• Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
• Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
• Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
• Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
• Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.
• Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
• Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
• Oversee planning, prioritization, and resourcing across projects and teams.
• Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
• Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
• Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
• Remove obstacles, manage risks, and ensure consistent execution across initiatives.
• Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
• Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
• Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
• Communicate progress, risks, and results clearly to both technical and non technical audiences.
• Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
• Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.
Qualifications:
Required:
• 8 years of relevant experience required.
• Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
• Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
• Supervisory experience required.
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Preferred:
• Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
• Masters in a Data Science/Analytics/AI is a plus
Company:
CLA exists to create opportunities for our clients, our people, and our communities through industry-focused wealth advisory, outsourcing, audit, tax, and consulting services. Founded in 1998, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.