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

The Stoughton Fire Department is looking for energetic individuals to fill entry-level volunteer ... Vocational or technical training in fire science or a related field is preferred. Must reside or ...

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 ...

Python Software Engineer

Madison, WI ยท On-site +1

$65K - $70K/yr

Even as an entry-level position, you'll be expected to fully participate in all aspects of the ... Qualifications A college degree in computer science or related field is preferred, but not required.

Python Software Engineer

Madison, WI ยท On-site

$65K - $70K/yr

Even as an entry-level position, you'll be expected to fully participate in all aspects of the ... Qualifications A college degree in computer science or related field is preferred, but not required.

Even as an entry-level position, you'll be expected to fully participate in all aspects of the ... Qualifications A college degree in computer science or related field is preferred, but not required.

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Entry Level Data Science information

See Madison, WI salary details

$10

$19

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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.

Volunteer Firefighter

City of Stoughton

Stoughton, WI โ€ข On-site

Other

Posted 11 days ago


Job description

SUMMARY OF JOB Volunteer Firefighters do not necessarily have the time; they just have the heart. Your community needs you. Please consider joining today.

The Stoughton Fire Department is looking for energetic individuals to fill entry-level volunteer positions. Volunteering with Stoughton Fire is a great way to support the local community or even prepare for a paid career in the fire and rescue service. We are looking for people from a wide age range and backgrounds.

If you ever thought about becoming a firefighter, an EMT, or just helping in the community, now is your chance to make it happen. Applicants must reside or work within the fire protection area served by the City of Stoughton Fire Department, including the City of Stoughton, the Town of Dunkirk, and parts of the Towns of Dunn, Rutland and Pleasant Springs. ESSENTIAL DUTIES AND RESPONSIBILITIES Responds to emergency calls, fires.

Maintains knowledge of current firefighting techniques. Maintains, monitors, and operates firefighting equipment. Operates firefighting pumps, related equipment and aerial apparatus as needed.

Conducts fire prevention presentations to the public on site and at other locations such as schools and businesses. Responds to "No Alarms" and handles or assists with different situations (i.e. carbon monoxide, fuel spills, smoke odors, etc.) QUALIFICATIONS Education, Training, Certifications & Experience Must be 18 years of age and possess a valid driver's license to meet City insurance requirements

Must have a high school diploma or GED (General Educational Development) or be at least 18 (eighteen) years old and currently enrolled in high school. Preferred two years of responsible work experience involving public interaction, or an equivalent combination of education and experience that demonstrates the required knowledge, skills, and abilities. Vocational or technical training in fire science or a related field is preferred.

Must reside or work within the fire protection area served by the City of Stoughton Fire Department, which includes the City of Stoughton, the Town of Dunkirk, and portions of the Towns of Dunn, Rutland, and Pleasant Springs. CPR-BLS (Cardiopulmonary Resuscitation - Basic Life Support) training and certification, and emergency vehicle operator training will be provided by the City. Conditions of Employment Must successfully complete a background check, driver's license verification, pre-employment physical, and drug screening.

JOB KNOWLEDGE, SKILLS, AND ABILITIES Language Skills Ability to analyze and categorize data and information in order to determine the relationship of the data with reference to established criteria/standards. Ability to compare, count, differentiate, measure, and/or sort data, as well as assemble, copy, and record and transcribe data and information. Ability to classify, compute and tabulate data.

Ability to explain, demonstrate and clarify to others within well-established policies, procedures, and standards, as well as the ability to follow specific instructions and respond to simple requests from others. Ability to utilize a variety of advisory data and information such as technical operating manuals, vehicle and equipment repair manuals, billing statements, time sheets, parts books and catalogs, electrical diagrams, hydraulic diagrams, procedures, guidelines, schedules, lists, hazardous materials lists, incident reports, inventory lists, logs, maps and non-routine correspondence. Ability to communicate effectively with Department personnel, parts vendor representatives, volunteers, fire/accident victims and families, Mayor, City Clerk, City personnel.

Mathematical Skills Ability to add and subtract, multiply and divide, and calculate percentages, fractions, and decimals. Judgment and Situational Reasoning Ability Ability to use functional reasoning and apply rational judgement in performing diversified work activities. Ability to exercise the judgment, decisiveness, and creativity required in situations involving the evaluation of information against sensory and/or judgmental criteria.

Physical and Mental Abilities Required to Perform Essential Position Functions Ability to operate equipment and machinery with some requiring complex and rapid adjustments, such as rescue tools, fire vehicles, breathing apparatus, ladders and hoses, ventilation fans, two-way radios, hazmat suit, water suit and hand tools. Ability to coordinate eyes, hands, feet, and limbs in performing skilled movements. Ability to exert moderately heavy physical effort in moderate to heavy work, typically involving some combination of climbing and balancing, stooping, kneeling, crouching, crawling, lifting, carrying, pushing, and pulling extrication equipment, charged fire hoses, and other firefighting equipment.

May also assist with patient lifts and moving victims with some weighing over 100 pounds. Ability to stand for prolonged periods while operating firefighting equipment and apparatus. Ability to recognize and identify degrees of similarities or differences between characteristics of colors, forms, sounds and odors associated with job-related objects, materials and ingredients.

Ability to locate fire using sound, move through smoke-filled areas by feel. Environmental Adaptability Ability to work under occasionally unsafe and uncomfortable conditions where exposure to environmental factors such as temperature variations, odors, toxic agents, smoke, potential violence, noise, wetness, machinery, electrical currents, disease, and/or dust can cause discomfort and where there is a risk of injury.