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

AFL

Data Security Engineer (Remote/Southeast)

Duncan, SC · On-site +1

Data security at AFL is a priority, and this role sits at the center of it. This role owns the ... Bachelor's degree in Cybersecurity, Information Security, Computer Science, Information Systems, or ...

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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.

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?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
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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
Remote Data Engineer I

Remote Data Engineer I

Spartanburg Regional Medical Center

Spartanburg, SC • On-site, Remote

$111K - $134K/yr

Full-time

Posted 19 days ago

Spartanburg Regional Healthcare System rating

6.6

Company rating: 6.6 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

557th of 872 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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