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Remote Data Science Jobs in Boca Raton, FL (NOW HIRING)

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Remote Data Science information

See Boca Raton, FL salary details

$22.4K

$99.6K

$190K

How much do remote data science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote data science in Boca Raton, FL is $99,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,429.00 and $138,096.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in Boca Raton, FL?

The most popular types of Data Science jobs in Boca Raton, FL are:

What are popular job titles related to Remote Data Science jobs in Boca Raton, FL?

For Remote Data Science jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Boca Raton, FL look for?

The top searched job categories for Remote Data Science jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Remote Data Science jobs?

Cities near Boca Raton, FL with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,563 per year, or $47.9 per hour.

Data Loss Prevention Analyst

Fort Lauderdale, FL • Remote

Lakeview Loan Servicing
51 - 200 employees

$70K - $130K/yr

Full-time

Medical, Retirement

Posted 13 days ago


Job description

Overview

The DLP Analyst is responsible for protecting sensitive company and customer information by monitoring, analyzing, and responding to potential data leakage incidents to prevent unauthorized access, misuse, or loss of sensitive information assets, while helping drive more secure business practices. The ideal candidate will have experience with data protection technologies, strong analytical skills, and experience working with cross-functional, technical, and non-technical teams to ensure compliance with organizational and regulatory requirements.

This is a fully remote position with the option of working a hybrid schedule out of our Coral Gables, FL office. We offer a competitive salary range of $70,000 to $130,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors.


Responsibilities
  • Continuously monitor and analyze DLP alerts to identify potential data loss incidents, policy violations and risky business practices.
  • Investigate, escalate and respond to DLP incidents in accordance with security policies and incident response procedures.
  • Conduct root cause analysis and recommend corrective actions to mitigate data loss risks.
  • Profile and analyze patterns of data movement to enhance data protection controls and reduce insider risks.
  • Profile and analyze data discovery and data classification reports to validate true positives and work cross-functionally to mitigate risk exposure.
  • Develop, implement, and fine-tune DLP policies and rules to prevent unauthorized data access or transmission, and minimize false positives.
  • Conduct periodic audits and assessments to evaluate the effectiveness of DLP controls.
  • Assist in the classification and protection of sensitive data, ensuring compliance with organizational policies.
  • Generate reports on DLP incidents, trends, and security risks, providing recommendations for improvement.
  • Collaborate with IT, security and business teams to integrate data protection controls into workflows and business processes.
  • Educate employees on best practices for data security and compliance.
  • Collaborate with vendors and engineers to optimize technical solutions and address system enhancements.
  • Troubleshoot issues with end users related to sensitivity labels and DLP controls.
  • Develop and maintain documentation related to operating procedures, policy configuration, etc.
  • Develop and update data classification labels and label policies.

Qualifications
  • Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).
  • 4+ years of experience in data protection, forensic investigations, incident response, or law enforcement roles.
  • Strong, hands-on experience with Microsoft Purview (including but not limited to Data Loss Prevention, Information Protection, eDiscovery, and Audit), Microsoft Defender, Netskope, or Zscaler.
  • Familiarity with Varonis, Splunk, or Microsoft Sentinel, and insider-threat tools is a plus
  • Experience with custom regex-based pattern matching, exact data matching, and document indexing.
  • Experience preparing incident investigation reports and documenting activities.
  • Understanding of data protection laws, compliance frameworks, and industry best practices.
  • Knowledge of encryption, network security, endpoint security, and cloud security principles.
  • Scripting (e.g., Python and PowerShell) experience is a plus.
  • Experience configuring and managing API-based integrations with business applications to support DLP and CASB monitoring, visibility, and policy enforcement.

Knowledge and Skills Required:

  • Strong analytical, problem-solving, and incident response skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication skills to interact with technical and non-technical stakeholders.

Certifications

  • CISSP, CISA, CEH, CCSP, or Microsoft Certified preferred

Lakeview Loan Servicing is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence, and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

#LI-Remote

Qualifications:
  • Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).
  • 4+ years of experience in data protection, forensic investigations, incident response, or law enforcement roles.
  • Strong, hands-on experience with Microsoft Purview (including but not limited to Data Loss Prevention, Information Protection, eDiscovery, and Audit), Microsoft Defender, Netskope, or Zscaler.
  • Familiarity with Varonis, Splunk, or Microsoft Sentinel, and insider-threat tools is a plus
  • Experience with custom regex-based pattern matching, exact data matching, and document indexing.
  • Experience preparing incident investigation reports and documenting activities.
  • Understanding of data protection laws, compliance frameworks, and industry best practices.
  • Knowledge of encryption, network security, endpoint security, and cloud security principles.
  • Scripting (e.g., Python and PowerShell) experience is a plus.
  • Experience configuring and managing API-based integrations with business applications to support DLP and CASB monitoring, visibility, and policy enforcement.

Knowledge and Skills Required:

  • Strong analytical, problem-solving, and incident response skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication skills to interact with technical and non-technical stakeholders.

Certifications

  • CISSP, CISA, CEH, CCSP, or Microsoft Certified preferred

Lakeview Loan Servicing is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence, and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

#LI-Remote

Education:UNAVAILABLEEmployment Type: FULL_TIME