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Remote Data Science R Jobs in Tennessee (NOW HIRING)

Senior Data Engineer-JT0224

Franklin, TN ยท 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 ...

AI Expert

Memphis, TN ยท On-site +1

... Memphis, TN office or fully remote. Tasks to be Performed: * Analyzing user/business data ... Applying sound analysis, business practices, and scientific expertise to solve a wide variety of ...

GCP Manager

Nashville, TN ยท On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

GCP Manager

Memphis, TN ยท On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

GCP Manager

Hermitage, TN ยท On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

CDE III

Memphis, TN ยท On-site +1

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

CDE III

Memphis, TN ยท On-site +1

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Epic Solutions Architect - Remote

Brentwood, TN ยท On-site +1

$59.50 - $78.50/hr

This is a Full Time, remote, Epic Solutions Architect role. What You'll Do * Partner with Member ... data science, reporting and analytics, or economics. * Requires minimum three (3) years' experience ...

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Showing results 1-20

Remote Data Science R information

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 are the most commonly searched types of Data Science R jobs in Tennessee? The most popular types of Data Science R jobs in Tennessee are:
What job categories do people searching Remote Data Science R jobs in Tennessee look for? The top searched job categories for Remote Data Science R jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Science R jobs? Cities in Tennessee with the most Remote Data Science R job openings:
Associate MLOps Engineer

Associate MLOps Engineer

BlueCross BlueShield of Tennessee

Chattanooga, TN โ€ข On-site, Remote

Full-time

Posted 10 days ago


Job description

BlueCross BlueShield of Tennessee is looking for an Associate MLOps Engineer to support data science teams in building, deploying, and operating machine learning solutions at scale. This is a hands-on, individual contributor role focused on technical execution, continuous learning, and collaboration. You will work closely with data scientists and engineers in a modern production environment, with mentorship from experienced MLOps professionals.

What You'll Bring:

  • Experience usingPython for scripting, data processing, or supporting machine learning workflows

  • Experience working with acloud-based platform (e.g., AWS, Azure, or GCP) to develop, deploy, or support data or machine learning solutions

  • Exposure toCI/CD practices, including Git-based workflows, automated testing, builds, and deployments

  • Understanding of themachine learning lifecycle, including experimentation, model versioning, and reproducibility (e.g., MLflow or similar tools)

  • Foundational knowledge ofdata engineering concepts, such as data ingestion, transformation, validation, and storage

  • Experience contributing to simplefull-stack applications, including:

    • Python-based backend APIs

    • Basic front-end views or dashboards to display data or model outputs

  • Willingness to follow established patterns and best practices to help move ML solutions from prototype to production

Nice to Have

  • Familiarity withOpenShift or Kubernetes, and working with containerized applications

  • Experience building or maintaininginfrastructure-as-code using Terraform (e.g., defining resources and managing environments)

  • Exposure toDatabricks for data engineering, analytics, or machine learning workflows

Why Join Us?

This fully-remote role is ideal for someone who enjoys hands-on technical work, is eager to develop modern MLOps practices, and wants to contribute to real-world production systems. You'll be joining a tax-paying not-for-profit organization and your work will directly contribute to our mission- peace of mind through better health.

Note

  • Final interviews onsite at our Chattanooga, TN headquarters are required for this role.

  • Sponsorship is not available for this role.

Job Duties & Responsibilities

  • Model Deployment: Ensuring that machine learning models are deployed efficiently and reliably into production environments.
  • Model Monitoring: Continuously monitoring the performance of models to detect issues like model drift and ensure they remain accurate and effective.
  • Automation: Automating the machine learning pipeline, including tasks like data preprocessing, model training, and evaluation.
  • Collaboration: Working closely with data scientists, software engineers, and IT operations to integrate machine learning models into business processes.
  • Version Control and Governance: Managing version control for models and ensuring compliance with governance policies.
  • Optimization: Identifying and implementing ways to improve the performance and scalability of ML systems Responsibility
  • Exploring cloud tools and technologies that assist data science with implementing their usecases.

Job Qualifications

Education

Bachelor's degree in computer science or equivalent work experience required. Equivalent experience is defined as 4 years of professional work experience in a corporate environment.

Experiences

2 years - Experience in software engineering and analytics technology (academic experience included)

Experience handling large datasets to build data pipelines.

Experience writing SQL and using Data Visualization tools.

Experience solving complex problems and independently developing solutions.

Skills/Certifications

Programming: Demonstrated proficiency in languages like Python or similar languages

Data Engineering: Strong understanding of data processing and storage solutions.

Problem-Solving: Ability to troubleshoot issues in ML models and infrastructure.

Ability to work independently with minimal supervision or function in a team environment sharing responsibility, roles, and accountability.

Excellent oral and written communication skills

Strong interpersonal and organizational skills

Number of Openings Available

1

Worker Type:

Employee

Company:

BCBST BlueCross BlueShield of Tennessee, Inc.

Applying for this job indicates your acknowledgement and understanding of the following statements:

BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.

Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:

BCBST's EEO Policies/Notices

BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.