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Entry Level Data Science Jobs in Madison, WI (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 ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

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Entry Level Data Science information

See Madison, WI salary details

$10

$19

$27

How much do entry level data science jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for entry level data science in Madison, WI is $19.20, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.54 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Madison, WI? The most popular types of Data Science jobs in Madison, WI are:
What cities near Madison, WI are hiring for Entry Level Data Science jobs? Cities near Madison, WI with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,932 per year, or $19.2 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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