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Data Science Assistant Jobs in Wisconsin (NOW HIRING)

Qualysoft

... Data-Science- und KI-Projekten. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Howard

Research Assistant

Downing, WI

$21 - $31/hr

The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
What are popular job titles related to Data Science Assistant jobs in Wisconsin? For Data Science Assistant jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Wisconsin look for? The top searched job categories for Data Science Assistant jobs in Wisconsin are:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Platform Engineer (AI / Data Platform)

Qualysoft

Remote

Contractor

Re-posted 16 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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