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Entry Level Data Scientist Remote Jobs in Wisconsin

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 ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ...

WEC Energy Group (WEC)

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 ...

WEC Energy Group

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 ...

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 ...

Wisconsin

Data Entry Operator

Madison, WI · On-site +1

$18/hr

It is anticipated that this position will be remote and requires work be performed at an offsite ... School of Medicine and Public Health, Department of Ophthalmology and Visual Sciences, Wisconsin ...

New

University of Wisconsin Madison

$9.3K - $13K/mo

Project Assistant - Data Analysis & Project Support Job No: 511781 Division/Organization ... College of Letters & Science Department: English Job Type: UW Student Jobs Remote Eligbility:

Qualysoft

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und Betrieb von End-to-End Data-Science- und ML-Workflows Implementierung von ML-Orchestrierungslosungen ...

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Entry Level Data Scientist Remote information

What are some common challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and make strategic decisions that require domain expertise and critical thinking. Skills in programming, statistical analysis, and machine learning remain essential for the role, especially in an evolving AI landscape.

Is 40 too late for data science?

Entry level data scientists can start at any age, including 40, as the field values skills like programming, statistics, and data analysis that can be learned at any stage. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and building a portfolio of projects.

How can I make $2000 a week working from home?

An entry level data scientist working remotely can increase earnings by gaining in-demand skills like machine learning and data analysis, obtaining relevant certifications, and working on multiple freelance projects or consulting. Building a strong portfolio and leveraging platforms like Upwork or Kaggle can also help secure higher-paying opportunities. Earning $2000 weekly typically requires consistent project work and advanced skills in data tools and programming languages.

Can I get a data scientist job with no experience?

Entry level data scientist roles often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such positions. Employers may also consider internships or bootcamps as valid experience for entry level roles.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist (Remote), and why are they important?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What is an Entry Level Data Scientist (Remote)?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.
What are popular job titles related to Entry Level Data Scientist Remote jobs in Wisconsin? For Entry Level Data Scientist Remote jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Remote jobs in Wisconsin look for? The top searched job categories for Entry Level Data Scientist Remote jobs in Wisconsin are:
What cities in Wisconsin are hiring for Entry Level Data Scientist Remote jobs? Cities in Wisconsin with the most Entry Level Data Scientist Remote job openings:
Entry Level Data Scientist Remote jobs near you
Infographic showing various Entry Level Data Scientist Remote job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Curriculum Manager - Data Science and AI

DataCamp

Belgium, WI • On-site, Remote

Other

Medical, Dental, Vision

Re-posted 26 days ago

Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum-helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges - Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors - Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation - We offer a competitive salary with attractive benefits.
  • Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth - Access to a yearly learning & development budget.
  • Global Culture - Join a team that values international collaboration.
  • Annual Retreats - Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup - Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

Apply