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

JDS Consulting, PLLC

PROJECT COORDINATOR

Greenville, SC · Remote

$40K - $50K/yr

... Task and Time data, entering purchase orders and invoices; verifying all client information ... Bachelor of Science in Engineering or other equivalent technical discipline preferred. Experience:

DPR Construction

HR Technology Leader

Greenville, SC · On-site +1

This role is remote and open to candidates in the continental United States. This role requires ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

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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.
Inside Sales Specialist - REMOTE

Inside Sales Specialist - REMOTE

Guardian Research Network

Spartanburg, SC • Remote

Full-time

Re-posted 5 days ago

Job description

Job Purpose

The Inside Sales Specialist is responsible for identifying, qualifying, and nurturing potential customers interested in real-world data solutions for healthcare, life sciences, and related research markets. This role focuses on outbound prospecting, inbound lead management, and early-stage sales activities to support pipeline growth and revenue objectives. The ideal candidate is consultative, data-driven, and comfortable engaging with stakeholders across clinical, research, analytics, and commercial functions.

Duties and Responsibilities

Sales & Pipeline Development
• Proactively identify and qualify potential customers for RWD products and services via outbound calls, emails, and digital outreach
• Manage inbound leads and convert marketing-qualified leads (MQLs) into sales-qualified leads (SQLs)
• Conduct discovery conversations to understand customer needs related to real-world evidence, outcomes research, market access, safety, and commercialization
• Schedule and coordinate meetings and product demos for field sales executives or account managers
• Maintain accurate pipeline activity and forecasts within CRM (e.g., Salesforce)

Customer Engagement & Education
• Clearly articulate the value proposition of RWD solutions, datasets, and analytics offerings
• Educate prospects on use cases such as HEOR, RWE studies, post-marketing surveillance, clinical development, and commercial strategy
• Serve as a knowledgeable first point of contact for prospective customers

Collaboration & Enablement
• Partner closely with marketing, sales leadership, and field sales teams to optimize outreach strategies
• Provide feedback on market trends, customer objections, and competitor activity
• Support proposal development, pricing discussions, and contract handoffs as needed

Performance & Process
• Achieve or exceed activity, pipeline, and revenue-related targets
• Maintain detailed records of customer interactions and lead status
• Continuously improve sales processes through training, feedback, and best-practice sharing
• Handle other duties as assigned

Training
• GRN HIPAA/Privacy & Security Training
• Harassment/Hostile Workplace
• CITI modules appropriate for role
• GRN data elements and systems
• Workflow(s) required for assigned projects

Minimum Qualifications
• Bachelor's degree or equivalent experience
• 1 year of inside sales, business development, or lead-generation experience
• Strong communication, presentation, and active-listening skills
• Experience using CRM tools and sales engagement platforms
• Ability to understand and explain complex data or technical solutions

Required Competencies/Knowledge, Skills, and Abilities
• Excellent interpersonal skills in order to effectively and appropriately engage internal and external contacts at all seniority levels
• Ability to thrive as part of a fast-moving team to achieve deliverables
• Strong written and verbal communication skills
• Ability to quickly learn new software applications
• Strong organizational skills, including ability to manage multiple deliverables
• Excellent office productivity skills, especially with MS office applications
• Adaptability and flexibility
• Ability to complete tasks independently, accurately, and within compressed timelines

Working conditions
• Day shift with standard working hours (8AM – 5 PM), with occasional flexibility required as deadlines may warrant
• Corporate office and/or home office environment with regular computer and phone usage

Direct reports
None