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Remote Data Science R Jobs in Boynton Beach, FL (NOW HIRING)

ASR Group

Sr. Data Scientist

Belle Glade, FL · Remote

Programming and Scientific Computing - High proficiency in Python and/or R for data analysis, model ... soil science, remote sensing, or precision agriculture applications is highly desirable.

Jj

Staff Data Engineer

Palm Beach Gardens, FL · On-site +1

$108K - $130K/yr

Scientific/Technology All Job Posting Locations: Palm Beach Gardens, Florida, United States of ... R; 3. SQL optimization and database management systems MS SQL Server, MySQL, PostgreSQL, Oracle ...

TEKsystems

Remote Policy Analyst

Boca Raton, FL · Remote

$25 - $30/hr

Develop data-driven recommendations to enhance policy coverage and accuracy * Prepare formal ... Bachelor's degree (or higher) in Political Science, International Relations, Pre-Law, or a related ...

Troutman Pepper

Senior Data Engineer

West Palm Beach, FL · Remote

$102K - $139K/yr

Bachelors' degree in Computer Science, Management Information Systems, or related field. * Minimum ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

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All JobsRemote Data Science R JobsRemote Data Science R Jobs in Boynton Beach, FL

Remote Data Science R information

See Boynton Beach, FL salary details

$35.1K

$115K

$184.2K

How much do remote data science r jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote data science r in Boynton Beach, FL is $115,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $127,500.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What job categories do people searching Remote Data Science R jobs in Boynton Beach, FL look for? The top searched job categories for Remote Data Science R jobs in Boynton Beach, FL are:
What cities near Boynton Beach, FL are hiring for Remote Data Science R jobs? Cities near Boynton Beach, FL with the most Remote Data Science R job openings:
Remote Data Science R jobs near you
Senior Data Scientist ID71658

Senior Data Scientist ID71658

AgileEngine

West Palm Beach, FL • On-site, Remote

Full-time

Posted 4 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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