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Data Scientist R Remote Jobs in Tennessee (NOW HIRING)

Senior Data Engineer-JT0224

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

Senior Product Analyst

Nashville, TN · On-site +1

$120K - $140K/yr

Remote - USA Reporting To: Principal Data Scientist Compensation: $120,000 - $140,000 / year Description As the Senior Product Analyst , you will own the analytics layer across our Product ...

Nurse Practitioner: Remote Urgent Care

Frisco, TX · On-site +1

$102K - $141K/yr

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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Data Scientist R Remote information

What are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

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

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Tennessee? For Data Scientist R Remote jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Data Scientist R Remote jobs? Cities in Tennessee with the most Data Scientist R Remote job openings:
Infographic showing various Data Scientist R Remote job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Manager of Data Engineering & Architecture - Hybrid / Remote

Manager of Data Engineering & Architecture - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

191st of 884 rated healthcare providers


Job description

  • Hybrid for candidates in Nashville and surrounding areas.
  • Remote option available for candidates outside of surrounding areas.

Key Responsibilities
Leadership & Team Development
  • Lead, mentor, and develop a team of data, architectural engineers across onshore and offshore resources
  • Support workforce planning, hiring, onboarding, coaching, and performance management
  • Foster a culture of accountability, continuous improvement, and technical excellence

Data Platform & Architecture
  • Provide architectural direction for the enterprise data warehouse and data lake, ensuring alignment with healthcare data standards and regulatory requirements (e.g., HIPAA)
  • Design and optimize scalable, secure data pipelines using Azure Databricks, Apache Spark, and Azure-native data services
  • Guide integration of data from multiple healthcare sources, including EMRs, claims systems, and patient portals
  • Ensure solutions are designed for scalability, reliability, cost efficiency, and long-term maintainability

Delivery & Collaboration
  • Partner with clinical, operational, analytics, and IT teams to deliver trusted, self-service data and insights
  • Oversee strategic data initiatives and projects, ensuring alignment with business priorities and organizational goals
  • Promote and institutionalize Agile and iterative development practices within the data engineering organization

Governance, Quality & Compliance
  • Establish and enforce data governance, privacy, security, and quality standards across platforms and pipelines
  • Ensure compliant handling of healthcare data, including PHI, in accordance with HIPAA and internal policies
  • Support data stewardship, documentation, and auditability across the data ecosystem

Innovation & Strategy
  • Stay current with industry trends in data engineering, process automation, cloud platforms, DataOps, and MLOps
  • Identify opportunities to modernize tooling, architecture, and delivery practices to improve outcomes and efficiency
  • Contribute to long-term data and analytics strategy and roadmap development

Required Qualifications
  • Bachelor's or master's degree in computer science, Computer Engineering, Information Systems, or a related field (or equivalent experience)
  • 5+ years of experience in data engineering, automation or related technical roles
  • 3+ years of experience in leadership or people management capacity
  • Strong background in SQL, data modeling, and ETL/ELT development
  • Hands-on experience with Azure Databricks, including:

    • Building Spark-based data pipelines
    • Managing cluster performance and cost optimization
    • Integrating with Azure Data Factory and Azure Data Lake Storage

  • Deep understanding of Azure cloud architecture and healthcare-specific data challenges
  • Proven ability to design and architect data and analytics solutions across project, product, and program levels

Preferred Qualifications
  • Familiarity with healthcare data formats and standards such as HL7, FHIR, and claims data
  • Experience with BI and analytics tools such as Power BI, Tableau, or Sigma
  • Strong communication skills with the ability to collaborate effectively across technical and non-technical stakeholders
  • Experience operating in regulated environments with a focus on security, privacy, and compliance

Benefits:
  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance
  • PTO
  • 401(k) retirement plan with a company match
  • And more!

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.
*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.
*No Recruiters Please
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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