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

Air Modeler

Columbia, SC · Remote

$80K - $119K/yr

Experience evaluating meteorological data, surface characteristics, terrain, background ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

... Quality, Science & Technology, Capital Delivery, and Commercial teams to optimize manufacturing ... Remote (supporting Aiken, SC; Blythewood, SC; Fort Smith, AR; and Gastonia, NC; up to 50% travel ...

New

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 ...

New

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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.
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Salesforce Administrator - Contract - Remote

Salesforce Administrator - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • On-site, Remote

Contractor

Re-posted 5 days ago


Job description


Salesforce Administrator
Location: Remote
Interview Process: 1 round, Virtual/Online
Duration: 12 MonthsEmployment Type: ContractExperience Required: 06+ Years
Candidate Location: No SC residency required. Open to nationwide candidates.
Project Scope:
We are seeking an experienced Salesforce Administrator to support the daily administration, enhancement, integration, and maintenance of an enterprise Salesforce environment. This role will play a key part in supporting business operations by managing Salesforce configurations, user administration, workflow monitoring, sandbox environments, and external system integrations.
The ideal candidate will have strong hands-on Salesforce administration experience along with knowledge of integrations involving AWS Connect, ServiceNow, and Azure Active Directory (Azure AD). The role also requires experience supporting authentication, security, and Single Sign-On (SSO) solutions within Salesforce environments.
Key Responsibilities:
• Manage Salesforce user accounts, profiles, permission sets, and access controls
• Create, modify, deactivate, and maintain users following security and governance best practices
• Configure and manage Salesforce sandbox environments for development, testing, and QA purposes
• Collaborate with development teams to promote code changes and updates across Salesforce environments
• Monitor workflow queues, automation processes, and system performance to ensure operational efficiency
• Troubleshoot and resolve workflow, automation, and system-related issues
• Support and maintain integrations with external platforms including AWS Connect, ServiceNow, and Azure AD
• Configure and maintain identity provider integrations with a strong focus on Azure AD and Single Sign-On (SSO) functionality
• Ensure secure authentication and access management across integrated systems
• Maintain Salesforce configurations, customizations, workflows, and documentation
• Provide end-user support, troubleshooting, and training as needed
• Collaborate with technical and business teams to support operational improvements and system enhancements
• Ensure compliance with organizational security standards and governance policies
Required Skills & Experience:
• Salesforce Certified Administrator certification (or equivalent Salesforce Administration certification)
• 5+ years of experience as a Salesforce Administrator with strong expertise in day-to-day Salesforce administration and maintenance
• Experience managing Salesforce users, profiles, roles, permission sets, and security settings
• Strong experience with Salesforce workflows, automation processes, and troubleshooting
• Experience with Salesforce sandbox management and environment administration
• Strong understanding of Salesforce security and access management best practices
• Excellent problem-solving, analytical, and troubleshooting abilities
• Strong written and verbal communication skills
Preferred Skills:
• Experience creating and managing Salesforce sandbox environments
• Experience promoting code changes and deployments between Salesforce environments
• Familiarity with external integrations including AWS Connect, ServiceNow, and Azure AD
• Experience configuring and supporting Single Sign-On (SSO) and Identity Provider integrations
• Knowledge of enterprise application integration and data synchronization practices
Education:
Bachelor's Degree in Information Technology, Computer Science, or a related field
Certificate:
Salesforce Administrator Certification required
CJIS Certification will be required after onboarding (training provided by the State following successful background check completion)