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Remote Data Science Jobs in Columbia, SC (NOW HIRING)

AMAROK

Salesforce Developer/Administrator

Columbia, SC · Remote

Perform basic Salesforce Administration (User & Security management, data maintenance, dashboards ... Bachelor's degree in Computer Science, Computer Systems Engineering, Systems Engineering, or ...

Kaleris

Software Engineer

Columbia, SC · Remote

Solid experience with PostgreSQL - writing queries, analyzing execution plans, and resolving data ... international remote teams * Bachelor's degree in Computer Science or a related field, or ...

Labcorp

EDI Specialist - Field

Columbia, SC · Remote

$60K - $88K/yr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... This position is Remote in South Carolina. Job Summary: The candidate must have a complete ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Columbia, SC

Remote Data Science information

See Columbia, SC salary details

$21.6K

$96.1K

$183.5K

How much do remote data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data science in Columbia, SC is $96,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,659.00 and $133,345.00 per year, depending on experience, location, and employer.

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.

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.

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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Columbia, SC? The most popular types of Data Science jobs in Columbia, SC are:
What are popular job titles related to Remote Data Science jobs in Columbia, SC? For Remote Data Science jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Columbia, SC look for? The top searched job categories for Remote Data Science jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Remote Data Science jobs? Cities near Columbia, SC with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,137 per year, or $46.2 per hour.

Business Analyst (Cerner EHR) - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • On-site, Remote

Contractor

Re-posted 10 days ago

Job description


Business Analyst (EHR)
Location: Remote
Interview Process: One round of Virtual Interviews with the Camera On
Duration: 12 MonthsEmployment Type: ContractExperience Required: 06+ Years
Candidate Location: Candidate must reside in lower 48 states (Continental US) and comfortable working EST time zone hours.
Project Scope:
Seeking an experienced Business Analyst to support implementation and ongoing operations of a vendor-hosted Electronic Health Record (EHR) system across multiple healthcare locations. The role involves working closely with clinical, technical, and IT teams to support system configuration, reporting, workflow optimization, and integration activities.
The analyst will support both implementation and operational phases of the EHR platform, ensuring smooth coordination between stakeholders, system users, and technical teams while maintaining compliance with healthcare standards and security policies.
Key Responsibilities:
• Act as a Business Analyst supporting enterprise-wide EHR implementation and operations activities.
• Gather, analyze, and document business and clinical requirements from stakeholders and end users.
• Translate business requirements into functional specifications, workflows, and system configurations.
• Support design, build, testing, validation, and deployment of EHR modules and enhancements.
• Work on system optimization including workflows, configuration changes, and reporting improvements.
• Develop and maintain documentation including business requirements, process flows, and system design documents.
• Collaborate with clinical analysts, IT teams, and business users to define current and future state workflows.
• Support development and modification of custom reports and data extracts using reporting tools and query languages.
• Assist in interface analysis, troubleshooting, and resolution of integration issues between systems.
• Participate in testing activities including system testing, integration testing, and user acceptance testing (UAT).
• Validate system functionality against business requirements and ensure successful implementation outcomes.
• Support user onboarding, training sessions, and end-user support activities.
• Assist in identifying and resolving system issues, defects, and workflow gaps.
• Work with technical teams to monitor data quality, system performance, and interface stability.
• Maintain system documentation, training materials, and knowledge base articles.
• Participate in change control processes, ensuring all modifications follow governance standards.
• Coordinate with stakeholders to prioritize requirements and manage project deliverables.
• Support ongoing system enhancements, upgrades, and production support activities.
• Ensure compliance with healthcare IT standards, security policies, and regulatory requirements.
• Provide regular status updates, reports, and documentation to project leadership.
• Assist in continuous improvement initiatives to enhance system efficiency and user experience.
Required Skills & Experience:
• 5+ years of experience as a Business Analyst in healthcare IT or enterprise application environments
• 5+ years of experience supporting system analysis, implementation, or application support
• 5+ years of experience working with healthcare systems, workflows, or clinical applications
• Experience with data analysis, reporting, and system integration activities
• Strong experience in requirements gathering, documentation, and stakeholder management
• Experience supporting system testing, validation, and UAT processes
• Knowledge of HL7 or healthcare data exchange standards
• Experience working with interface troubleshooting and system integration support
• Strong understanding of SDLC and change management processes
• Experience creating business process documentation and workflow diagrams
• Strong communication and collaboration skills across technical and non-technical teams
Preferred Skills:
• Experience with Cerner or other EHR platforms
• Experience with clinical workflows and healthcare operations
• Knowledge of report development or query tools (e.g., SQL, CCL, or similar)
• Experience working in public sector or large healthcare organizations
• Familiarity with healthcare compliance standards (HIPAA, security frameworks)
• Experience with SharePoint, MS Office, Visio, or documentation tools
• Experience supporting application training and end-user support
Education:
Bachelor's degree in Information Systems, Computer Science, Healthcare, or related field

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