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Remote Data Scientist Internship Jobs in Wisconsin

NV5

Remote Sensing Technician

Sheboygan Falls, WI · Remote

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... science, engineering program or related field * Aviation Background * Ground Survey Background

NV5

Remote Sensing Technician

Sheboygan Falls, WI · On-site +1

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... science, engineering program or related field * Aviation Background * Ground Survey Background

Resource Innovations

Energy Engineer

Des Moines, IA · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Building Science, or a related technical field. * At least 2 years of relevant experience in ...

Resource Innovations

Energy Engineer

Madison, WI · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Building Science, or a related technical field. * At least 2 years of relevant experience in ...

Qualysoft

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

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

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 ...

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

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 ...

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All JobsData Scientist JobsRemote Data Scientist Internship JobsRemote Data Scientist Internship Jobs in Wisconsin

Remote Data Scientist Internship information

What is a remote data scientist internship?

A Remote Data Scientist Internship is a temporary, project-based position where interns work remotely to analyze data, build models, and derive insights using machine learning and statistical techniques. Interns collaborate with teams virtually, using tools like Python, R, and SQL to process and visualize data. These internships help students and professionals gain real-world experience in data science while improving their technical and analytical skills.

What types of projects or tasks can I expect to work on during a remote data scientist internship?

As a Remote Data Scientist Intern, you may work on tasks like cleaning and analyzing datasets, building predictive models, visualizing data trends, and assisting with data-driven decision-making processes. You will likely collaborate with other data scientists and team members through virtual meetings, shared code repositories, and project management tools. Your daily responsibilities might include writing scripts to automate data analysis, preparing presentations, and contributing to ongoing research or product development initiatives. These experiences are designed to help you develop practical, industry-relevant skills and gain exposure to real-world data science challenges.

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

To thrive as a Remote Data Scientist Intern, you need a solid understanding of statistics, machine learning, and programming, often demonstrated through coursework or related projects in fields like data science, computer science, or engineering. Hands-on experience with tools such as Python or R, data visualization libraries, SQL databases, and platforms like Jupyter Notebook is highly valued, along with familiarity with cloud-based collaboration tools. Strong analytical thinking, initiative, clear communication, and the ability to work independently in a virtual environment are standout soft skills. These capabilities enable interns to effectively analyze complex data, share insights, and contribute meaningfully to team projects despite the remote setting.

What are the most commonly searched types of Remote Data Scientist jobs in Wisconsin?

The most popular types of Remote Data Scientist jobs in Wisconsin are:

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For Remote Data Scientist Internship jobs in Wisconsin, the most frequently searched job titles are:

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The top searched job categories for Remote Data Scientist Internship jobs in Wisconsin are:

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Cities in Wisconsin with the most Remote Data Scientist Internship job openings:

Remote Data Scientist Internship jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Green Bay, WI • Remote

$90 - $120/hr

Part-time

Posted 24 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply