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

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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 are the most commonly searched types of Data Science jobs in Greer, SC? The most popular types of Data Science jobs in Greer, SC are:
What are popular job titles related to Remote Data Science jobs in Greer, SC? For Remote Data Science jobs in Greer, SC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Greer, SC look for? The top searched job categories for Remote Data Science jobs in Greer, SC are:
What cities near Greer, SC are hiring for Remote Data Science jobs? Cities near Greer, SC with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Greer, SC as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Remote Data Engineer I

Remote Data Engineer I

Spartanburg Regional Healthcare System

Spartanburg, SC • Remote

$111K - $134K/yr

Full-time

Re-posted 15 days ago

Spartanburg Regional Healthcare System rating

6.7

Company rating: 6.7 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

518th of 881 rated healthcare providers

Job description

Job Requirements

Build the Foundation for Data Driven Healthcare and Join Us as Our Next Remote Data Engineer I!

Location: 100% Remote | Applicants must reside in one of the following states: AL, AZ, CT, DE, FL, GA, IN, KS, KY, LA, MD, MI, NC, PA, RI, SC, VA, WV, or WI.

Why Choose Spartanburg Regional Healthcare System

Spartanburg Regional Healthcare System is a forward thinking, community focused healthcare organization that has served the Upstate for more than 100 years. SRHS is committed to leveraging data, analytics, and emerging technologies to improve patient outcomes, support clinical decision making, and advance innovation across the enterprise.

Team members at SRHS work in a collaborative environment that values learning, growth, and continuous improvement. Our data and analytics teams play a critical role in delivering trusted data that supports both business intelligence and advanced AI driven solutions.

Step Into a Role That Builds Trusted Data at Scale

Remote Data Engineer I

The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that ensure data quality, consistency, and readiness for analytics and AI use cases. This role focuses on foundational data engineering activities, assisting with preparation, validation, and documentation of data so it is accurate, secure, and accessible for self-service reporting and advanced analytics.

Working under the guidance of senior data engineers, this role develops skills in data curation, governance, and pipeline development while contributing to the delivery of reliable, optimized datasets that support both operational reporting and enterprise analytics initiatives. This is a fully remote position.

What You Bring to the Table

Educational Foundation

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or Information Systems

Professional Experience

  • Minimum of 5 years of Business Intelligence or comparable data engineering experience (healthcare experience preferred)
  • Strong communication and analytical skills
  • Proficiency with Microsoft BI tools, T SQL, ETL processes, data modeling, and data visualization
  • Strong understanding of SQL and relational database concepts
  • Familiarity with Epic applications and Epic database structures

Licenses and Certifications

  • Relevant Epic Data Model or Microsoft development certifications preferred
  • Certifications may include but are not limited to:
  • Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer Dicer
  • Epic Revenue Cycle, Shared Clinical, Grand Central, and related specialties
  • AI development including machine learning and analytics platforms
  • Microsoft Fabric development including Data Warehouse, Lakehouse, and ETL tools
  • Microsoft SQL certifications

What You Will Learn and Deliver

  • Assists with build and refresh activities using approved data architecture designs
  • Supports data ingestion and ETL processes including basic troubleshooting and data quality validation
  • Collaborates with engineers and developers to learn enterprise data standards and development patterns
  • Ensures compliance with data governance, security, performance, and privacy standards
  • Executes assigned project requests exceeding 40 hours under supervision
  • Contributes to continuous improvement of data reliability and usability
  • Performs additional duties as assigned

Technologies and Work Areas You Will Support

  • Azure Databricks
  • Epic Caboodle development internal and external
  • Cogito Extract Scheduler
  • Cogito Reporting Workbench SQL
  • Cogito SQL Metrics
  • Copilot Studio agent development and management
  • Data agent development and management
  • Epic claims ingestion workflows
  • Microsoft Fabric Data Warehouse, Lakehouse, and ETL development
  • Power Platform applications
  • Power BI semantic model development and management
  • Slicer Dicer data model development and management
  • Other assigned or extended project requests

Take the Next Step

If you are ready to grow your data engineering skills, support meaningful analytics initiatives, and contribute to trusted data solutions that power healthcare innovation, we encourage you to apply today. Join Spartanburg Regional Healthcare System and help build the data foundation that supports smarter decisions and better patient care.


What Spartanburg Regional Healthcare System employees say

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Benefits

Hours and flexibility

Workplace

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About Spartanburg Regional Healthcare System

Sourced by ZipRecruiter

Spartanburg Regional Healthcare System is a leader in the healthcare industry, located in Spartanburg, SC, US. As a comprehensive health system, it offers services encompassing everything from wellness, prevention, and care coordination to specific medical treatments for a wide range of diseases and health issues. Spartanburg Regional Healthcare System was founded in 1921 and has since developed a reputation for excellence and innovative care, growing to include six hospitals, 100 medical offices, 8,000 associates and more than 900 medical staff.

Industry

Recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Spartanburg, SC, US

Year founded

1921

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