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Entry Level Data Science Jobs in Madison, WI (NOW HIRING)

AgSource

Quantitative Geneticist

Madison, WI

... data analysis and analytical tasks to support scientific and operational excellence with ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Farm Systems

Quantitative Geneticist

Madison, WI · On-site

... data analysis and analytical tasks to support scientific and operational excellence with ... Skilled at engaging with stakeholders from entry-level employees to executive leadership. * Strong ...

Urus

Quantitative Geneticist

Madison, WI

... data analysis and analytical tasks to support scientific and operational excellence with ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Urus Group LP

Quantitative Geneticist

Madison, WI · On-site

... data analysis and analytical tasks to support scientific and operational excellence with ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

... data analysis and analytical tasks to support scientific and operational excellence with ... Skilled at engaging with stakeholders from entry-level employees to executive leadership. * Strong ...

Actalent

Sales Development Representative

Madison, WI

$343K/yr

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 ...

Actalent

Sales Development Representative

Madison, WI

$343K/yr

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 ...

Actalent

Sales Development Representative

Madison, WI · On-site

$343K/yr

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 ...

Actalent

Sales Development Representative

Madison, WI · On-site

$343K/yr

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 ...

Ball

Operational Excellence Specialist

Fort Atkinson, WI · On-site

$66K - $93K/yr

The Operational Excellence Specialist is an entry level position. It is both, a facilitative leader ... Bachelor's Degree in engineering, Science, Supply Chain or equivalent work-related experience Job ...

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All JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Madison, WI

Entry Level Data Science information

See Madison, WI salary details

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

As of Jul 6, 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 are popular job titles related to Entry Level Data Science jobs in Madison, WI? For Entry Level Data Science jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Madison, WI look for? The top searched job categories for Entry Level 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:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Madison, WI as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,932 per year, or $19.2 per hour.
Quantitative Geneticist

Quantitative Geneticist

Trans Ova Genetics

Madison, WI

Full-time

Posted 23 days ago

Job description

The Quantitative Geneticist at URUS is responsible for producing industry-leading bovine genetics through innovative quantitative genetics analysis and technical expertise. This role involves development of innovative approaches to genetic advancement with hands-on data analysis and analytical tasks to support scientific and operational excellence with operational goals to deploy genomic and genetic selection tools within the PEAK breeding program. 

Reporting to the Chief Science Officer of Acceligen, who leads the team in the Genetic Advancement and Trait Discovery as part of the Innovation group at URUS. The Quantitative Geneticist will ideally be based in Madison, WI. 

RESPONSIBILITIES 

Research and Development 

  • Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software.

  • Utilize genomic data and/or machine learning to enhance prediction models. 

  • Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran

  • Design and refine software pipelines that empower end-users to work independently. 

  • Use data-driven analysis to support project decision-making and breeding program optimization

  • Identify opportunities for innovation by actively following scientific developments in genetics, translating them into practical applications for URUS.

  • Ensure accuracy, reliability, and timely delivery of research outputs. 

 Strategic Communication and Planning 

  • Prepare materials for URUS internal and external education channels. 

  • Report on project status promptly and professionally. 

  • Contribute to long-term research and innovation strategies. 

  • Actively participate in team and cross-functional meetings. 

  • Attend scientific, technical, and commercial events to support knowledge exchange and visibility. 

Technical and Operational Support 

  • Provide technical and operational support to URUS breeding programs to improve output and efficiency. 

  • Interpret genetic evaluation results and communicate upcoming changes. 

  • Monitor and troubleshoot trends in genetic rankings and performance data. 

  • Maintain up-to-date professional and technical expertise relevant to genetics and operations. 

  • Deploy genetic diversity management tools within the breeding program. 

PROFESSIONAL QUALIFICATIONS AND EXPERIENCE 

  • Ph.D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a related field. 

  • Knowledge of dairy or beef cattle production preferred. 

  • Technical and Scientific Expertise

    • Demonstrated experience with genomic evaluation processes, including data ingestion and integration, genotype imputation, variance component estimation, and breeding value prediction.

    • Strong background in statistical analysis of large and complex datasets.

    • Knowledge of genomewide association analysis (GWAS).

    • Familiarity with dairy or beef cattle production systems (preferred).

  • Programming and Software Skills

    • Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R, Python, and SQL.

    • Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks

    • Proficient in Microsoft Office applications.

  • Excellent communication skills with fluency in English.

  • Ability to build strong, effective relationships across teams and organizational levels.

  • Skilled at engaging with stakeholders from entrylevel employees to executive leadership.

  • Strong interpersonal, analytical, and decisionmaking abilities.

  • Effective timemanagement skills and the ability to balance multiple priorities.

  • Intellectual curiosity with a commitment to continuous learning and identifying new opportunities.

  • Willingness to travel occasionally.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.


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