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Remote Data Science R Jobs in Danville, VT (NOW HIRING)

Cloud Platform Engineer

Montpelier, VT · Remote

$56.25 - $75.25/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

This is a remote position. Maximus TCS (Technology and Consulting Services) Internal Job Profile ... data. - Monitor security tools and alerts, performing initial triage and escalating issues in ...

This is a remote position. Maximus TCS (Technology and Consulting Services) Internal Job Profile ... data. - Monitor security tools and alerts, performing initial triage and escalating issues in ...

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Remote Data Science R information

See Danville, VT salary details

$37.1K

$121.3K

$194.2K

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 Danville, VT is $121,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,400.00 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.
Cloud Platform Engineer

Cloud Platform Engineer

Maximus

Montpelier, VT • Remote

$56.25 - $75.25/hr

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 292 frontline employees who took The Breakroom Quiz

243rd of 437 rated business services


Job description

Description & Requirements

Maximus is currently seeking a Cloud Platform Engineer.

This is a remote position.

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Our work focuses on sustaining, operating, and improving essential government systems and services, with proven operational excellence, and a commitment to mission success for our customers.

Joining Maximus means becoming part of a collaborative, mission‑driven organization where teamwork, accountability, and professional growth are core to how we operate. We invest in our workforce through training, education, and career development, empowering professionals to deliver high‑impact solutions while contributing to outcomes that matter at a national scale.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

Ability to obtain and maintain a Public Trust is required. An active Public Trust and/or DHS suitability is preferred. Must be a U.S. Citizen without dual citizenship.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS165, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

- Provide operational support for AWS and Azure cloud environments, including IaaS and PaaS services.

- Manage full virtual machine lifecycle activities across large number of VMs, including provisioning, configuration, patch coordination, scaling, and decommissioning.

- Support Azure subscription management, including expansion from initial environments to scaled multi-subscription architectures aligned with enterprise governance standards.

- Perform backup and restore operations, ensuring data protection, recovery readiness, and compliance with enterprise and federal requirements.

- Design and build cloud environments to support application onboarding, testing, and production deployments.

- Integrate security controls, automated testing, and compliance scanning into pipeline workflows to support secure software delivery and platform hardening.

- Monitor cloud platforms for performance, availability, and security, supporting incident response and troubleshooting activities in coordination with operations teams.

- Collaborate with cloud engineers, architects, and enterprise teams to align cloud implementations with architecture standards and operational best practices.

- Support cloud platforms that enable VoIP, VTC, and real-time communications systems, ensuring reliability, performance, and operational continuity.

Job-Specific Minimum Requirements:

- Demonstrated experience supporting AWS / Azure IaaS and PaaS environments, including VM lifecycle management, networking, and platform services.

- Hands-on experience managing large-scale VM environments (hundreds of VMs) in enterprise or federal settings.

- Proven experience with Infrastructure as Code (e.g., ARM templates, Bicep, Terraform) for automated provisioning and configuration.

- Experience designing and maintaining CI/CD pipelines using tools such as Azure DevOps, GitLab, Jenkins, or similar.

- Demonstrated experience integrating security scanning, compliance checks, and automated testing into DevSecOps pipelines.

- Experience supporting backup, restore, and disaster recovery operations within cloud environments.

- Experience with monitoring, logging, and alerting tools (e.g., Azure Monitor, Log Analytics, Splunk, or equivalent).

- Experience supporting incident response, troubleshooting, and production operations in mission-critical systems.

- Ability to create and maintain technical documentation, runbooks, and deployment procedures.

- Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field. Additional years of relevant experience will be considered in lieu of degree.

- 5+ years of experience in cloud engineering, DevSecOps, or AWS or Azure platform operations.

Preferred Skills and Qualifications:

- Experience supporting federal government environments.

- Experience operating in large-scale, multi-subscription Azure environments.

- Familiarity with DevSecOps best practices and secure software delivery pipelines.

- Experience supporting real-time communications platforms (VoIP, VTC) in cloud environments.

- Knowledge of ITSM/ITOM frameworks and integration with cloud operations.

- Experience with cloud cost management and optimization practices.

- Strong collaboration skills across cloud engineering, security, and operations teams.

- Excellent troubleshooting and communication skills in high-visibility environments.

- At least one cloud platform certification (e.g., AWS, Microsoft Azure or Google).

#techjobs #clearance #veteransPage #LI-remote

Minimum Requirements

TCS165, T3, Band 6

#TSTECH

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .


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