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Weekend Remote Data Scientist Jobs in Idaho (NOW HIRING)

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... No dumb perks (and a trail mix bar) No weekend dog-walking gimmicks that look cool but cost nothing ...

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Weekend Remote Data Scientist information

What is a weekend remote data scientist?

Weekend Remote Data Scientists are professionals who work part-time or on a flexible schedule, typically during weekends, to analyze data, build models, and generate insights for organizations. They perform their duties remotely, using data science tools and techniques to solve business problems without needing to be physically present at an office. This role is ideal for those seeking work-life balance, additional income, or flexibility in their work schedule. Weekend Remote Data Scientists often collaborate with teams via virtual communication platforms and use cloud-based tools to access and analyze data securely.

What are the key skills and qualifications needed to thrive as a weekend remote data scientist, and why are they important?

To thrive as a Weekend Remote Data Scientist, you need strong analytical skills, expertise in statistics, and a background in computer science or mathematics, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning libraries, and knowledge of data visualization tools and cloud platforms are typically expected. Excellent time management, self-motivation, and clear communication skills are essential for independent remote work and effective collaboration with distributed teams. These skills ensure accurate data-driven insights, efficient project delivery, and seamless coordination in a remote and flexible work environment.

What are some common challenges faced by weekend remote data scientists, and how can they be addressed?

Weekend remote data scientists often face challenges such as managing communication with teammates who work standard weekday hours and accessing time-sensitive data or support outside regular business times. To overcome these hurdles, it's important to set clear expectations with your team, utilize asynchronous communication tools (like Slack or email), and plan your tasks in advance to ensure you have all necessary resources before the weekend. Proactively updating your team on progress and any blockers can also help maintain collaboration and project momentum.

What is the difference between Weekend Remote Data Scientist vs Part-Time Data Analyst?

AspectWeekend Remote Data ScientistPart-Time Data Analyst
CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in related field, often with similar certifications
Work EnvironmentRemote, flexible hours, project-basedRemote or on-site, flexible hours, project or hourly-based
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, research, finance
Search & Comparison IntentFocus on data science skills, modeling, machine learningFocus on data analysis, reporting, visualization

The Weekend Remote Data Scientist typically works on complex data modeling and machine learning projects during weekends, requiring advanced data science skills. In contrast, a Part-Time Data Analyst focuses on data reporting, visualization, and basic analysis, often during flexible hours. Both roles are remote and part-time but differ in technical complexity and daily responsibilities.

Weekend Remote Data Scientist jobs near you

Senior DevOps Engineer - On-Prem Infrastructure

Corporate Tools

Post Falls, ID • On-site, Remote

$175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

Overview
Corporate Tools is seeking a DevOps Engineer with deep expertise in virtualization and on-prem infrastructure. This hybrid, full-time position blends modern DevOps practices with traditional Linux systems engineering. You'll be responsible for managing and scaling our on-prem environments remotely, automating infrastructure workflows, and maintaining reliable, secure systems using tools like Proxmox or other enterprise-grade hypervisors. You'll work closely with our development and operations teams to support infrastructure automation, CI/CD workflows, and resilient on-prem systems-enabling high-performance application development and delivery.
Plus, you'll be the hero who keeps everything secure, reliable, and running like a well-oiled machine. If you love tackling tough challenges and making a real impact, this role offers the perfect mix of tech and strategy! If you're that sweet spot of Linux meets DevOps than we want to speak with you!
Wage
Up to $175,000 / year
Benefits
  • 100% employer-paid medical, dental & vision Full coverage for employees - nothing comes out of your paycheck. Plus an annual review with a raise option.
  • Time off that grows with you 22 days PTO + 4 holidays to start. After 3 years it bumps to 29 days, and after 5 years you move to flexible time off - not accrued, not capped. Take time off when you want.
  • Parental leave & 401(k) match Paid parental leave, plus up to 6% company 401(k) matching with no vesting period - it's yours from day one.
  • Quarterly allowance Spend it on whatever makes work better: a comfier remote setup, continuing-education classes, a plant for your desk, coffee for a coworker, a massage for yourself... really, whatever.
  • No dumb perks (and a trail mix bar) No weekend dog-walking gimmicks that look cool but cost nothing because nobody uses them. We spend on benefits you'll actually use - an open-concept office, friendly coworkers, a creative environment, and yeah... a trail mix bar.

Responsibilities
  • Design, implement, and manage on-premise infrastructure to support scalable and reliable applications.
  • Perform capacity planning and scalability assessments to ensure infrastructure growth meets business requirements.
  • Collaborate with software development teams to implement best practices for deployment and infrastructure management.
  • Coordinate with IT and Network teams to ensure proper infrastructure setup, connectivity, and integration with other systems.
  • Design and implement Continuous Integration (CI) and Continuous Deployment (CD) pipelines for on-prem applications.
  • Ensure seamless integration between development, QA, and production environments.
  • Continuously monitor and improve the performance of on-prem systems and applications.
  • Research, evaluate, and integrate new technologies to enhance the functionality and performance of on-prem infrastructure.

Requirements
  • 4+ years of experience in DevOps, Infrastructure, or Linux Systems Engineering roles.
  • Strong background in Linux systems administration and troubleshooting (RHEL, CentOS, Ubuntu, or similar).
  • Deep hands-on experience with Proxmox or another enterprise virtualization platform (e.g., VMware vSphere, KVM, Xen).
  • Proficiency with infrastructure-as-code tools (Terraform, Ansible, or similar).
  • Comfortable working with container technologies such as Docker or Podman.
  • Experience with CI/CD tooling (e.g., GitLab CI, Jenkins, Drone).
  • Strong scripting skills (Bash, Python, or Ruby).
  • Solid understanding of networking concepts and best practices in on-prem environments.
  • Familiarity with managing physical infrastructure remotely (e.g., IPMI, iDRAC, iLO).
  • Experience managing on-prem Kubernetes clusters (or hybrid deployments).
  • Familiar with automated OS provisioning tools (e.g., PXE boot, Kickstart, Cobbler).
  • Experience with monitoring and alerting systems (Prometheus, Grafana, Zabbix, or similar).
  • Experience with PostgreSQL or other relational databases from a systems perspective.
  • Knowledge of backup, high-availability, and disaster recovery for virtualized infrastructure.
  • Understanding of hardware lifecycle and virtual resource optimization in remote data center environments.

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