United States (Remote / Hybrid based on project needs) Work Authorization: U.S. Citizen Clearance ... Administer sandbox environments, refresh cycles, seed data, and release workflows * Implement and ...
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United States (Remote / Hybrid based on project needs) Work Authorization: U.S. Citizen Clearance ... Administer sandbox environments, refresh cycles, seed data, and release workflows * Implement and ...
Remote Data Science information
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).
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 the difference between Remote Data Science vs Remote Data Analyst?
| Aspect | Remote Data Science | Remote Data Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learning | Degree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools |
| Work Environment | Collaborative teams, research-focused, often involves building models and algorithms | Data reporting, visualization, and interpreting data trends for decision-making |
| Employer & Industry Usage | Tech companies, finance, healthcare, e-commerce | Marketing 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.
Can I work remotely as a data scientist?
Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Boydton, VA?
The most popular types of Data Science jobs in Boydton, VA are:
What cities near Boydton, VA are hiring for Remote Data Science jobs?
Cities near Boydton, VA with the most Remote Data Science job openings:
Full-time
Re-posted 5 days ago
Job description
Job Title: Senior Salesforce Administrator (Security & DevOps)
Location: United States (Remote / Hybrid based on project needs)
Work Authorization: U.S. Citizen
Clearance: Public Trust (Tier 2 / MBI) eligibility required
Employment Type: Full-Time
About the Opportunity:
A leading federal technology program is seeking an experienced Senior Salesforce Administrator to serve as the Salesforce DevOps and security authority for a highly regulated enterprise platform. This role will oversee Salesforce CI/CD, security governance, release management, compliance, and environment strategy across multiple development teams while ensuring platform stability, scalability, and audit readiness.
Key Responsibilities:
- Own and manage Salesforce DevOps CI/CD pipeline using Salesforce DX (SFDX), GitHub Actions, and source-driven deployments
- Administer sandbox environments, refresh cycles, seed data, and release workflows
- Implement and maintain Salesforce security configurations:
- Profiles
- Permission Sets
- Sharing Rules
- MFA
- Session Security
- Ensure compliance with FedRAMP, ATO, and federal security standards
- Manage Salesforce release cycles and platform upgrades
- Serve as primary administrator for OwnBackup data protection
- Maintain deployment governance, code review standards, and rollback procedures
- Monitor technical debt, platform health, and security posture
- Participate in Agile / SAFe ceremonies
Required Qualifications:
- Bachelor’s degree in Computer Science, IT, Cybersecurity, or related field
- 8+ years Salesforce Administration experience
- 3+ years Salesforce DevOps / Security Administration
- Salesforce Administrator Certification
- Salesforce Advanced Administrator Certification
- Hands-on expertise with:
- Salesforce DX
- GitHub / GitHub Actions
- Sandbox Management
- Security Controls
- OwnBackup
- Strong understanding of Salesforce platform architecture, limits, and governance
- Public Trust clearance eligibility
Preferred Qualifications:
- Salesforce Platform App Builder
- FedRAMP / Federal Salesforce environment experience
- Salesforce Public Sector Solutions
- ATO / NIST 800-53 exposure
- Salesforce Shield
- Copado / Gearset
- Federal contract experience
Why This Role:
- High-impact federal initiative
- Advanced Salesforce DevSecOps environment
- Long-term growth potential
- Opportunity to work on secure, enterprise-scale digital transformation
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