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Entry Level Data Scientist Jobs in Wisconsin (NOW HIRING)

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... The Nonclinical Data Associate is an entry level position in the global data management solutions ...

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

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Showing results 1-20

Entry Level Data Scientist information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do entry level data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for entry level data scientist in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Wisconsin? The most popular types of Data Scientist jobs in Wisconsin are:
What are popular job titles related to Entry Level Data Scientist jobs in Wisconsin? For Entry Level Data Scientist jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Entry Level Data Scientist jobs? Cities in Wisconsin with the most Entry Level Data Scientist job openings:
Infographic showing various Entry Level Data Scientist job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $166,561 per year, or $80.1 per hour.
Nonclinical Data Associate

Nonclinical Data Associate

Labcorp

Madison, WI • On-site

$19 - $24/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,130 frontline employees who took The Breakroom Quiz

98th of 120 rated laboratories


Job description


Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you'll have the opportunity to do meaningful work, grow your career and make a real impact on people's health around the world. Together, we're improving health and improving lives.


Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.

The Nonclinical Data Associate is an entry level position in the global data management solutions group, learning the tasks required of drafting and finalizing nonclinical datasets with supervision.

Job Description:

  • Learns appropriate levels and methods of direct contact with clients

  • Learns to prepare form letters and communication text

  • Shadows experienced data associates and joins other client-facing staff (e.g., study director) to attend client site visits and client conference calls

  • Learns to use software tools to efficiently and accurately complete job duties. Software types to include: word processing, spreadsheet, dataset/table generation, collaboration/sharing, and database supportive applications.

  • Dataset Preparation

    • (85%) Trains on duties required to complete dataset preparation. Tasks to be learned may include, but are not limited to:

    • Learning how to obtain and review study documents (e.g., protocol, report) to gather information to prepare datasets

    • Learning to generate and quality check (QC) dataset files to ensure compliance with regulatory requirements

    • Learning to address client inquiries on content of study datasets

    • (5%) May learn to compile metadata to populate databases supporting nonclinical safety assessment.

    • (5%) May train on software testing and validation activities. Initial training will include executing test scripts and maintaining documentation in accordance with Systems Life Cycle methodology which complies with General Principles of Software Validation issued by regulatory agencies.

    • (5%) Performs other duties as assigned and may include shadowing or attending company and/or industry initiatives related to dataset specifications and/or production

  • This role participates as a member of a global team, with global colleagues and supervisors.

  • Communicates with internal and external stakeholders to facilitate projects as assigned.

  • Communicates with supervisors, management, and schedulers/project regarding timelines and assignments

  • Promotes and strives for quality first approach to work

Summary: The Nonclinical Data Associate role serves as part of a team which generates standardized datasets to be used by clients and regulatory agencies. Data Associates work independently and ultimately work with minimal supervision. Datasets generated may be portions or complete datasets in SEND format, or datasets of historical control data. Ability to learn and comprehend scientific terminology is a part of the role. Working independently requires individual time management and prioritization with guidance from supervisors. Due to the nature of the use of the datasets, quality and accuracy are of the utmost importance. Data Associates work with a sense of urgency to meet customer timelines and expectations.

Minimum Education and Experience Required:

  • Bachelor's degree or equivalent experience, preferably in one of the following: life sciences, computer science/information systems, statistics, bioinformatics, or mathematics or similar.

Additional Qualifications:

  • Knowledge or experience using programming applications or formulas such as, but not limited to: SAS, R, Python or willingness to learn within 1st year of employment.

  • Preclinical life science experience or exposure

  • Basic knowledge of office software (e.g., Microsoft Office, especially Word and Excel; Adobe Acrobat)

  • Attention to detail, time management skills, and organizational skills

  • Ability to understand or learn scientific and medical terminology and concepts

  • Good communication skills

Application Window: July 22nd, 2026

Pay Range: $19.00 - $24.00/hourly

All job offers will bebased on a candidate's skills and prior relevant experience, applicabledegrees/certifications,as well as internal equity and market data.

Benefits:Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.For more detailed information, pleaseclick here.


Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.


We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data, please see ourPrivacy Statement.



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