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Data Science Jobs in Madison, WI (NOW HIRING)

Exact Sciences

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Help us change lives At Exact Sciences, we're helping change how the world prevents, detects and ... As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in ...

Exact Sciences

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Help us change lives At Exact Sciences, we're helping change how the world prevents, detects and ... As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in ...

Exactsciences

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Help us change lives At Exact Sciences, we're helpingchange how the world prevents, detects and ... As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in ...

Pandata Group

Data Integration Developer

Madison, WI

This is balanced with a vision to help organizations evolve into a focused, fast, flexible and fun data science community that engages employees at all levels of an organization. As one of our Data ...

Labcorp

Nonclinical Data Associate

Madison, WI

$19 - $24/hr

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 ...

Labcorp

Operations Scientist II

Madison, WI · On-site

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... Bachelor of Science/Arts (BS/BA) degree in chemistry, biology or laboratory science degree. * 1 ...

Labcorp

Operations Scientist II

Madison, WI

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... Bachelor of Science/Arts (BS/BA) degree in chemistry, biology or laboratory science degree. * 1 ...

Varsity Tutors

ACT Science Tutor

Madison, WI · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

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Data Science information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do data science jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data science in Madison, WI is $123,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,100.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
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 Data Science jobs in Madison, WI? For Data Science jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Madison, WI look for? The top searched job categories for Data Science jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Science jobs? Cities near Madison, WI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,693 per year, or $59.5 per hour.
Spark Expert (Direct Client)

Spark Expert (Direct Client)

Innovizant LLC

Madison, WI • On-site

Contractor

Re-posted 16 days ago

Job description

Company Description

Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.

Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)

With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.

Job Description

Role Title: Spark Expert

Location: Madison, WI

Contract Position (Direct Client)

 

Top 3 attributes:

  • Highly collaborative
  • Investigative
  • Communicator

 

Job description

Position Purpose:  Needs to have forensic capability to troubleshoot Spark environment, resolve data issues and migration of old models new spark environment

         2-3 Years of experience working with Spark.

         Overall experience of 10+ years, out of which 5+ years in Big Data Technologies.

         Experience with Py-Spark added advantage.

         Hadoop, Hive, Oozie, Sqoop, Kafka, storm and spark experience

         Migration, Troubleshoot experience required.

Qualifications

Spark, Hadoop, Big Data, MIgration, Troubleshooting

Additional Information

Thanks & Regards,

Aditya Prakash | Resource Manager | Innovizant LLC

Phone : 630-685-1260

aditya.prakash(AT)innovizant(DOT)com

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