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

JLL

Environmental Site Assessor

Nashville, TN · On-site +1

$45K - $90K/yr

Remote + Travel, M-F 8:00 AM to 5:00 PM Travel Requirements: requires domestic travel approximately ... Analyzes historical data (aerial photos, maps, municipal records) to assess environmental risks

Cisco

Solutions Architect - Splunk (Remote)

Nashville, TN · On-site +1

$60.75 - $80.25/hr

Bachelor's degree in computer science, a related discipline or equivalent work experience ... Data-driven decision-making approach with focus on measurable outcomes Core Values and Mindsets:

Amsurg

IT Implementation Engineer

Nashville, TN · Remote

IT Implementation Engineer Remote Company Overview: AMSURG is an independent leader in ambulatory ... Ability to understand and interpret basic financial data. Ability to interpret a variety of ...

AMSURG

IT Implementation Engineer

Nashville, TN · Remote

IT Implementation Engineer Remote Company Overview: AMSURG is an independent leader in ambulatory ... Ability to understand and interpret basic financial data. Ability to interpret a variety of ...

AmSurg LLC

IT Implementation Engineer

Nashville, TN · Remote

IT Implementation Engineer Remote Company Overview: AMSURG is an independent leader in ambulatory ... Ability to understand and interpret basic financial data. Ability to interpret a variety of ...

Dollar General

IT Security Engineer SR

Goodlettsville, TN · Remote

$107K - $147K/yr

... data protection (Digital Guardian DLP, Microsoft DLP). * Advanced proficiency in cloud security ... In-depth understanding of PKI, VPN/remote access technologies (CyberArk Alero, GlobalProtect), and ...

Deloitte

Consultant - ServiceNow

Nashville, TN · Remote

Supporting documentation of data models, taxonomies, workflows, controls, and reporting ... Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Springfield, TN

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 Springfield, TN are hiring for Remote Data Science jobs? Cities near Springfield, TN with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Springfield, TN as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
EPIC Analytics and Reporting Engineer- Project- Senior Consultant

EPIC Analytics and Reporting Engineer- Project- Senior Consultant

Deloitte

Nashville, TN • On-site, Remote

$95K - $124K/yr

Other

Posted 25 days ago

Job description

 
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals 
 
 
Work you'll Do
 
As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps.
 
  • Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems
  • Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR
  • Work on Epic upgrades and Nova Notes
  • This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic
  • This resource needs to work on content management activities
  • Excellent documentation skills such as - Application understanding, change management etc.
  • This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities
  • Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders
  • This resource will also work with end-users to help communicate enhancements/improvements needed for business processes
  • This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care
  • Experience with healthcare domains and concepts 
  • Understanding of Agile methodologies
  • Experience with Business concepts, processes, information, and data
  • Exceptional problem-solving skills
  • Excellent written and verbal communication skills
 
 
The Team 
 
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 

Qualifications
Required
  • Bachelor's degree, preferably in Computer Science, Information Technology,  Computer Engineering, or related IT discipline; or equivalent experience
  • Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules
  • 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities
  • Experience with US healthcare reporting data models
  • Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis.
 
 Preferred
  • Experience in new Report builds, Modifications and analysis on existing reports 
  • Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool
  • Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred
  • Can operate independently or with minimum supervision
  • Excellent written and communication skills
 
 
 
 
 
 
 
 
Qualifications:
 
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals 
 
 
Work you'll Do
 
As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps.
 
  • Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems
  • Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR
  • Work on Epic upgrades and Nova Notes
  • This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic
  • This resource needs to work on content management activities
  • Excellent documentation skills such as - Application understanding, change management etc.
  • This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities
  • Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders
  • This resource will also work with end-users to help communicate enhancements/improvements needed for business processes
  • This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care
  • Experience with healthcare domains and concepts 
  • Understanding of Agile methodologies
  • Experience with Business concepts, processes, information, and data
  • Exceptional problem-solving skills
  • Excellent written and verbal communication skills
 
 
The Team 
 
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 

Qualifications
Required
  • Bachelor's degree, preferably in Computer Science, Information Technology,  Computer Engineering, or related IT discipline; or equivalent experience
  • Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules
  • 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities
  • Experience with US healthcare reporting data models
  • Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis.
 
 Preferred
  • Experience in new Report builds, Modifications and analysis on existing reports 
  • Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool
  • Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred
  • Can operate independently or with minimum supervision
  • Excellent written and communication skills
 
 
 
 
 
 
 
 
Education:Bachelor's DegreeEmployment Type:

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