2

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

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Java React Developer

Middleton, WI

$52.50 - $67.75/hr

For data science/machine learning required skills: Bachelor's degree or master's degree in computer ... entry-level position. The additional skills and project work with hands-on experience building ...

Entry Level Chemist

Middleton, WI · On-site

$22 - $29.50/hr

Responsible for review and compilation of results and data comparison against SOP acceptance criteria, methodology, protocol and product specifications. Education * Bachelor's degree (Life Sciences ...

Entry Level Chemist

Middleton, WI

$22.50 - $30.25/hr

Responsible for review and compilation of results and data comparison against SOP acceptance criteria, methodology, protocol and product specifications. Education * Bachelor's degree (Life Sciences ...

Web Developer - Entry Level

Madison, WI · On-site +1

$55K - $70K/yr

Qualifications A college degree in computer science or related field is preferred, but not required ... A solid base-level understanding of basic algorithms and data structures, as well as how to ...

Qualifications A college degree in computer science or related field is preferred, but not required ... A solid base-level understanding of basic algorithms and data structures, as well as how to ...

Qualifications A college degree in computer science or related field is preferred, but not required ... A solid base-level understanding of basic algorithms and data structures, as well as how to ...

next page

Showing results 1-20

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 Jun 14, 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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

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 (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

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, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
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:
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, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,932 per year, or $19.2 per hour.
Entry level Java spring boot developer/ data scientist

Entry level Java spring boot developer/ data scientist

SynergisticIT

Madison, WI

Other

Posted 29 days ago


Job description

Failing Interviews/No Interviews or no Offers Isn't for a Lack of Experience. It's for the Lack of a relevant Updated Tech stack! Rejections can be discouraging, but they don't reflect your true potential — they reflect your preparation.

Employers want hands‐on experience, real projects, and interview‐ready candidates. SynergisticIT fills the gap between classroom learning and real‐world hiring expectations. If you're getting interviews but not offers, you're closer than you think—and that's the most frustrating stage to be in.

You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart.” They fail because they prepared the wrong way—watching tutorials on youtube, doing coursework on udemy/Courserra, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario.

Since 2010, SynergisticIT has helped candidates move from "almost” to "offer,” with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.

The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started on your Journey to get Hired: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact: https://www.synergisticit.com/contact-us/ If you're tired of being "final round” without the offer, stop guessing and start preparing with a plan.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.