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Remote Cyber Security Data Scientist Jobs in Florida

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245993 Location: Doral,FL,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

This role requires both scientific rigor and practical execution, including hands-on engagement with field and mill data, geospatial information, remote sensing platforms, sensor technologies, and ...

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

We are seeking a data science manager to assist us with developing and managing a large repository ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Data Scientist, Lead

Tampa, FL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245475 Location: Tampa,FL,US Share job via: Share Data Scientist, Lead The Opportunity: As a senior data scientist, you're excited at the prospect of unlocking the ...

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Remote Cyber Security Data Scientist information

What is a remote cyber security data scientist?

A Remote Cyber Security Data Scientist is a professional who analyzes and interprets complex digital data to identify and mitigate security threats, all while working from a remote location. They use techniques from data science, such as machine learning, statistical analysis, and data mining, to detect cyber threats and improve security measures. Their work involves developing algorithms to identify vulnerabilities, analyzing security incidents, and helping organizations make data-driven decisions to protect sensitive information. The remote aspect of the role allows these professionals to collaborate with teams and manage security tasks from anywhere with an internet connection.

How do remote cyber security data scientists typically collaborate with cross-functional teams to address security threats?

Remote Cyber Security Data Scientists often work closely with security analysts, IT professionals, and software engineers to identify, analyze, and mitigate cyber threats. Collaboration usually happens through virtual meetings, shared dashboards, and real-time messaging platforms. They contribute by developing machine learning models that detect anomalies and by interpreting large datasets to uncover potential vulnerabilities. Clear communication and regular updates are essential to ensure findings are actionable and integrated into the organization's broader security strategy.

What are the key skills and qualifications needed to thrive as a remote cyber security data scientist, and why are they important?

To thrive as a Remote Cyber Security Data Scientist, you need a solid background in computer science, statistics, cybersecurity principles, and advanced data analysis, often supported by a relevant degree and experience with cyber threat detection. Familiarity with programming languages like Python, machine learning frameworks, data visualization tools, and certifications such as CISSP or CompTIA Security+ are commonly required. Strong problem-solving abilities, analytical thinking, and proactive communication skills help you collaborate across teams and effectively interpret complex security data. These skills enable you to identify and mitigate cyber threats efficiently, protecting organizational assets in a constantly evolving digital landscape.

Can I work remotely as a remote cyber security data scientist?

Yes, many cyber security data scientist roles are available for remote work, especially in organizations that prioritize flexible and distributed teams. These roles typically require strong skills in data analysis, cybersecurity tools, and programming languages like Python or R, and often involve collaboration through online platforms. Remote positions may also require relevant certifications and the ability to work independently.

What are popular job titles related to Remote Cyber Security Data Scientist jobs in Florida?

For Remote Cyber Security Data Scientist jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Cyber Security Data Scientist jobs in Florida look for?

The top searched job categories for Remote Cyber Security Data Scientist jobs in Florida are:

Infographic showing various Remote Cyber Security Data Scientist job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Full-time

Medical, Dental, PTO

Re-posted 16 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.


Primary Function:

This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs. This position is contingent upon contract award and available funding.


Duties/Responsibilities:

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. 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 science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders


Preferred Qualifications:

  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation


Travel:

  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.


Location:

  • Remote
  • Must be willing to relocate if needed.

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer