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Remote Science Jobs in Wisconsin (NOW HIRING)

DataAnnotation

$40/hr

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

DataAnnotation

$60/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

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All JobsRemote Science JobsRemote Science Jobs in Wisconsin

Remote Science information

See Wisconsin salary details

$24.7K

$48.8K

$79.7K

How much do remote science jobs pay per year?

As of May 29, 2026, the average yearly pay for remote science in Wisconsin is $48,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,900.00 and $52,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What are the most commonly searched types of Science jobs in Wisconsin? The most popular types of Science jobs in Wisconsin are:
What are popular job titles related to Remote Science jobs in Wisconsin? For Remote Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Science jobs in Wisconsin look for? The top searched job categories for Remote Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Science jobs? Cities in Wisconsin with the most Remote Science job openings:
Remote Science jobs near you
Infographic showing various Remote Science job openings in Wisconsin as of May 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 50% Physical, 3% Hybrid, and 47% Remote job distribution, with an average salary of $48,843 per year, or $23.5 per hour.
Futuremindz llc: Sr. Data Scientist (Part-Time, Remote)

Futuremindz llc: Sr. Data Scientist (Part-Time, Remote)

CloudDevs

Wausau, WI • Remote

Part-time

Posted 28 days ago

Job description

LocationAnywhere, LatamsHeadquarters: TexasJob Title: Sr. Data Scientist (Part-Time, Remote) Experience: 8-12 years Work Type: Part-Time (Remote) Employment Type: W2 only (No OPT / CPT) Note: H-1B candidates are also welcome to apply. About the Role We're looking for a senior Data Scientist with strong practical experience who can take ownership of solving complex data challenges.

This is a remote part-time role designed for experienced professionals who prefer flexible hours. Key Responsibilities • Build and refine machine-learning models and statistical approaches for business use-cases. • Work with large data sets to generate insights and actionable recommendations.

• Partner with product and engineering teams to integrate models into business processes. • Create dashboards, reports, and visualizations for decision-makers. • Review and optimize existing models for performance and accuracy.

• Maintain high standards for data quality and security. Required Skills • 9-12 years of experience in data science and applied machine learning. • Proficiency in Python, R, SQL, and one or more cloud platforms (AWS, GCP, or Azure).

• Strong grasp of data modeling, feature engineering, and deployment practices. • Experience with big-data tools (Spark, Hadoop, or similar). • Knowledge of visualization tools such as Tableau or Power BI.

• Excellent problem-solving and communication skills. If u are interested to Phone: #J-18808-Ljbffr

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