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Remote Data Science Jobs in Madison, TN (NOW HIRING)

Zortech Solutions

GenAI Architect

Nashville, TN · Remote

Job Title GenAI Architect Duration: 6+ Months Location Nashville, TN Remote Work 100% Primary Skills Data Science Required Skills * 12 and 15 years of experience with Data Science AI ML and ...

Revecore

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 ...

Revecore

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 ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

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Remote Data Science information

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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What cities near Madison, TN are hiring for Remote Data Science jobs? Cities near Madison, TN with the most Remote Data Science job openings:
Remote Data Science jobs near you
Data Science Analyst - Remote

Data Science Analyst - Remote

Premise Health

Brentwood, TN • On-site, Remote

$75K - $87K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Premise Health rating

8.0

Company rating: 8.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

88th of 886 rated healthcare providers

Job description

Premise Health is Different on Purpose
Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs.
Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com.
As an Analyst on our Data Science team, you'll be an integral part of an innovative group building the analytical foundation behind Premise Health's approach to Population Health; work that continues to scale across the enterprise. In this highly visible, entrepreneurial role, you'll work cross-functionally with stakeholders, partnering with sales, growth, operations, clinical, finance, and more, as well as with strategic vendor partners you'll help manage.
You'll work alongside leaders across the organization with two core aims: 1) developing better ways for our clinical and operational teams to track and report on the performance of Premise's products, and 2) turning large, complex healthcare datasets into insights that identify opportunities to lower cost and improve quality of care, then translating those findings into action that empowers clinical teams and drives greater impact for our member populations. Along the way, you'll produce the analyses and presentations that support conversations with internal and external stakeholders, propose better ways to approach problems, and contribute to a team that's always raising its own bar.
This is a Full Time, remote, Data Science Analyst role.
What You'll Do
Data Analysis & Manipulation:
  • Perform exploratory data analysis to identify patterns and opportunities in healthcare data
  • Document methodology, assumptions, and results to ensure analyses are reproducible and defensible
  • Design and maintain reporting datasets that support recurring reporting and predictive modeling
  • Write clean, well-structured, and documented code in Python, PySpark, and SQL
  • Use Git for version control and follow structured development practices

Visualization & Reporting:
  • Design and build reports and dashboards using data visualization tools (Power BI preferred)
  • Build presentation-ready decks and visuals that frame data as a clear narrative for technical and non-technical audiences
  • Use Python to manipulate, clean, and analyze large datasets

Storytelling & collaboration:
  • Partner with stakeholders to scope projects, align on goals, and manage expectations
  • Communicate findings and methodologies clearly to technical and non-technical audiences
  • Contribute to predictive modeling and machine learning efforts under the guidance of senior team members

What You'll Bring
  • Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field
  • 3+ years of experience in a BI or analytics role focused on manipulating data and presenting it to stakeholders
  • Strong SQL skills for querying and manipulating large datasets
  • Strong data visualization skills, including building dashboards and reports in Power BI
  • Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.)
  • Healthcare data experience preferred
  • Understanding of statistical methods, predictive modeling, and AI/ML algorithms
  • Strong communication and presentation skills, with the ability to present to and manage stakeholders and clients
  • Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.)
  • Familiarity with Python, SQL, and Git (version control)
  • Experience with the following is a plus: Cloud Azure Databricks, Version Control: GitLab, IDE: VS Code

Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Additional benefits can be viewed here: https://jobs.premisehealth.com/benefits .
Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.
Premise provides its reasonable and genuinely expected range of compensation for this job of $75,000.00 - $87,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors.
For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.
This posting is anticipated to close within 90 days of 04/02/2026.
Should you have questions regarding this job posting, please contact askhr@premisehealth.com .

What Premise Health employees say

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Hours and flexibility

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About Premise Health

Sourced by ZipRecruiter

Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care - in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Brentwood, TN, US

Year founded

1975

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