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Weekend Remote Data Scientist Jobs in Wisconsin (NOW HIRING)

... von Data-Science- und KI-Projekten. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach ...

Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

Cloud Data Developer

Milwaukee, WI · On-site +1

$135K/yr

This position currently offers flexibility for a hybrid work arrangement (remote/on-site) with time ... Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information ...

Cloud Data Developer

Milwaukee, WI · On-site +1

$135K/yr

This position currently offers flexibility for a hybrid work arrangement (remote/on-site) with time ... Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information ...

Data Analyst

Madison, WI · Remote

$115K/yr

This is a remote position. * Candidate must live and work in Wisconsin. * Requires eligibility to ... Bachelor's Degree in Computer Science, Information Technology, or related field, or an equivalent ...

Data Analyst

Madison, WI · Remote

$115K/yr

This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ... Bachelor's Degree in Computer Science, Information Technology, or related field, or an equivalent ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related ...

New

Location: Remote, with a preference for local candidates near Milwaukee for occasional onsite ... The Analyst will carry out data analysis, assist in measurement science and participate in the ...

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Showing results 1-20

Weekend Remote Data Scientist information

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.

What are Weekend Remote Data Scientists?

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 are popular job titles related to Weekend Remote Data Scientist jobs in Wisconsin? For Weekend Remote Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

Platform Engineer (AI / Data Platform)

Qualysoft

Remote

Contractor

Re-posted 23 days ago


Job description

Fur ein anspruchsvolles KI- und Datenplattform-Projekt im Enterprise-Umfeld wird ein erfahrener Platform Engineer gesucht. Ziel ist der Aufbau, Betrieb und die Weiterentwicklung einer stabilen, skalierbaren On-Premise AI- und Data-Plattform zur Unterstutzung von Data-Science- und KI-Projekten.

Rahmenbedingungen
Start: ASAP
Laufzeit: Ende 2026, Verlangerung moglich
Auslastung: 100 %
Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache

400 - 450 a day
Aufgaben
Aufbau, Konfiguration und Betrieb von On-Premise Kubernetes-Clustern, idealerweise mit OpenShift & OpenShift AI (RedHat, UBI)
Design und Umsetzung von Plattform-Architekturen fur Streaming- und Batch-Workloads
Einfuhrung und Betrieb des Tooling-Stacks:
Quay, Artifactory
Tekton, Jenkins
CI/CD- und GitOps-Prinzipien
Containerisierung von Plattform- und Applikationskomponenten
Implementierung von Monitoring- und Logging-Losungen (Grafana, Prometheus, Loki)
Umsetzung von Security- und Schwachstellenmanagement (Container, Python, IDEs)
Unterstutzung und Enablement von Data-Science- und Entwicklungsteams
Mitwirkung bei KI-Projekten (Plattformbereitstellung, Betrieb, Stabilisierung)
Berucksichtigung von Enterprise-, Kunden- und Compliance-Vorgaben (z. B. Policies, AI Act)

Anforderungen
Mehrjahrige Erfahrung als Platform Engineer, DevOps Engineer oder vergleichbare Rolle
Sehr gute Kenntnisse in Kubernetes / OpenShift, idealerweise OpenShift AI
Erfahrung mit CI/CD, GitOps und Container-Technologien
Architektur-Know-how fur skalierbare Data- und KI-Plattformen
Sehr gute Deutsch und Englischkenntnisse
Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf inklusive Ihrer Verfugbarkeit sowie Ihrer Stundensatzvorstellung. Wir freuen uns auf Ihre Ruckmeldung.
Sie konnen mich gerne uber Freelancermap per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis!

 +43 699 14402417
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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