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Part Time Remote Data Science Jobs in Wisconsin (NOW HIRING)

DataAnnotation

$40/hr

Overview Data Scientist role at DataAnnotation. You will train AI models, measure progress of AI ... or part-time REMOTE position You'll be able to choose which projects you want to work on You can ...

DataAnnotation

$40/hr

Applied Math and/or Computer Science. Benefits This is a full-time or part-time REMOTE position You ... data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive ...

DataAnnotation

$40/hr

A leading AI development company based in the United States is seeking a Data Analyst (PhD) to ... This is a full-time or part-time remote position, with hourly pay starting at $40+, along with ...

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Part Time Remote Data Science information

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Scientist, and why are they important?

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.

How do part-time remote data scientists typically collaborate with full-time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What are the most commonly searched types of Remote Data Science jobs in Wisconsin? The most popular types of Remote Data Science jobs in Wisconsin are:
What are popular job titles related to Part Time Remote Data Science jobs in Wisconsin? For Part Time Remote Data Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Wisconsin look for? The top searched job categories for Part Time Remote Data Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Part Time Remote Data Science jobs? Cities in Wisconsin with the most Part Time Remote Data Science job openings:
Part Time Remote Data Science jobs near you
Infographic showing various Part Time Remote Data Science job openings in Wisconsin as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 50% In-person, 22% Hybrid, and 28% Remote job distribution.
Futuremindz llc: Sr. Data Scientist (Part-Time, Remote)

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

CloudDevs

Wausau, WI • Remote

Part-time

Posted 27 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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