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Freelance Data Science Jobs in Wisconsin (NOW HIRING)

Freelance | Location: Beaverton, OR (PHK) Contract Dates: August 3, 2026 - May 30, 2027 | Schedule ... Contribute to data governance, preservation planning, and archival policy development. Ensure ...

Freelance | Location: Beaverton, OR (PHK) Contract Dates: August 3, 2026 - May 30, 2027 | Schedule ... Contribute to data governance, preservation planning, and archival policy development. Ensure ...

WI · On-site

$104 - $138/hr

Taken en verantwoordelijkheden Onderzoekers, software engineers en data scientists ontwikkelen in toenemende mate software die een belangrijke bijdrage levert aan de impact van onderzoeksactiviteiten.

Posted today

WI · On-site

$100 - $130/hr

Background in Machine Learning, Data Science, or Generative AI is a valuable asset. We welcome ... Please note that this is a permanent position, and we do not offer freelance or contract ...

New

WI · On-site

$120 - $150/hr

Background in Machine Learning, Data Science, or Generative AI. We welcome applicants from all ... Please note that this is a permanent position, and we do not offer freelance or contract ...

New

Freelance Data Science information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do freelance data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for freelance data science in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a freelance data scientist?

To thrive as a Freelance Data Scientist, you need strong proficiency in statistics, programming (commonly Python or R), and data analysis, often backed by a degree in a quantitative field or relevant certifications. Mastery of tools like Jupyter Notebook, SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience with cloud platforms are typically required. Excellent communication, self-motivation, and time management skills set successful freelancers apart by enabling effective client collaboration and project delivery. These abilities ensure you can independently deliver actionable insights and solutions that meet diverse client needs in a competitive market.

What is a freelance data scientist?

Freelance data scientists are independent professionals who analyze, interpret, and extract insights from data for clients on a project or contract basis, rather than working as full-time employees for a single organization. They leverage skills in statistics, programming, and machine learning to solve business problems, build predictive models, and visualize data. Freelance data scientists often work with multiple clients across various industries, providing flexibility and the ability to specialize in different types of data projects. Their work may include tasks such as data cleaning, exploratory data analysis, algorithm development, and reporting findings to stakeholders.

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

AspectFreelance Data ScienceData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or Microsoft Data AnalystOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, working in teams or departments
Employer & Industry UsageFreelance data science projects across various industries like tech, finance, healthcareIn-house roles in industries such as finance, marketing, healthcare, and retail

Freelance Data Science involves independent, project-based work requiring advanced skills in machine learning, programming, and statistical analysis. Data Analysts typically focus on interpreting existing data, creating reports, and visualizations within organizations. While both roles require strong analytical skills, freelance data scientists often handle more complex modeling tasks, whereas data analysts focus on data interpretation and reporting.

What are the most common challenges faced by freelance data scientists when working with clients remotely?

Freelance data scientists often encounter challenges such as unclear project scopes, varying data quality, and communication gaps when collaborating remotely with clients. It's essential to establish clear expectations, maintain regular updates, and set milestones to ensure both parties are aligned throughout the project. Additionally, freelancers may need to adapt to different tools or platforms based on each client's preferences, requiring flexibility and strong self-management skills. Building trust and delivering insights in a clear, actionable manner can help foster long-term client relationships.
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 Freelance Data Science jobs in Wisconsin? For Freelance Data Science jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Freelance Data Science jobs? Cities in Wisconsin with the most Freelance Data Science job openings:
Infographic showing various Freelance Data Science job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Full-time, Part-time

Posted 12 days ago


Job description

Archivist 17242-1 Client: Nike | Employment Type: Freelance | Location: Beaverton, OR (PHK) Contract Dates: August 3, 2026 – May 30, 2027 | Schedule: Part-time, 16 hours per week (two 8-hour on-campus shifts) About the Role Nike is seeking a detail-oriented Operations Manager to support the day-to-day stewardship, organization, preservation, and accessibility of its physical and digital archival collections. This freelance role partners with the Nike Archives team to help protect and activate the company's product, corporate, and cultural history. The ideal candidate brings hands-on experience in archives, collections management, metadata, and digital asset workflows. You will help maintain accurate collection records, improve operational consistency, and support high standards for preservation, access, and data governance. Key Responsibilities Support the organization, preservation, and accessibility of physical and digital archival collections. Coordinate archival processing activities, including inventories, arrangement, description, and metadata updates. Maintain accurate records in archival databases, collection management systems, and digital asset management platforms. Help improve collection workflows, documentation standards, and operational procedures. Contribute to data governance, preservation planning, and archival policy development. Ensure materials are stored, handled, tracked, and documented in alignment with professional archival standards. Partner with Nike Archives and cross-functional stakeholders to facilitate access to historical, product, and corporate materials. Handle and relocate archival materials and storage containers weighing up to 30 pounds. Required Qualifications Bachelor's degree in Archival Studies, Library Science, History, Museum Studies, Information Science, or a related field. 3–5 years of professional experience in archives, records management, museums, special collections, or a comparable environment. Experience managing both physical and digital collections. Experience with archival databases, collection management systems, and digital asset management tools. Strong organizational skills, attention to detail, and ability to manage collection-related work independently. Ability to work effectively in archival storage environments that may include dust or other allergens. Ability to work two on-campus shifts per week in Beaverton, Oregon. Preferred Qualifications Master's degree in a relevant discipline. Experience with MuseumPlus or similar collection management and digital asset management platforms. Experience developing archival policies, procedures, metadata standards, or preservation plans. Experience supporting apparel, footwear, consumer product, brand heritage, or corporate archive collections. Previous experience working with Nike or a similarly complex global brand environment. Why This Role This is an opportunity to contribute directly to the preservation and accessibility of Nike's unique heritage collections. The successful candidate will combine strong archival expertise, operational discipline, and a passion for safeguarding the stories and materials that define an iconic global brand. Accepted file types: doc, docx, pdf, txt, Max. file size: 10 MB. Contract type Freelance Location Washington County , OR Specialty Retail Salary 59 Remote No Reference 513202 Contact name Cory Rivard #J-18808-Ljbffr