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Data Science Associate Jobs in Madison, WI (NOW HIRING)

Associate degree in a laboratory science (chemical or biological science) or medical laboratory ... Observe principles of data security and patient confidentiality. * Maintain ethical standards in ...

Associate degree in a laboratory science (chemical or biological science) or medical laboratory ... Observe principles of data security and patient confidentiality. * Maintain ethical standards in ...

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ... Qualifications: - Education - Bachelor's in Computer Science, Information Systems, Engineering, or ...

Observe principles of data security and patient confidentiality. Maintain ethical standards in the ... Minimum Qualifications Associate degree in a laboratory science (chemical or biological science) or ...

Observe principles of data security and patient confidentiality. Maintain ethical standards in the ... Minimum Qualifications Associate degree in a laboratory science (chemical or biological science) or ...

Observe principles of data security and patient confidentiality. Maintain ethical standards in the ... Minimum Qualifications Associate degree in a laboratory science (chemical or biological science) or ...

Associate Scientist I

Madison, WI ยท On-site

$22 - $27/hr

Observe principles of data security and patient confidentiality. Maintain ethical standards in the ... Associate degree in a laboratory science (chemical or biological science) or medical laboratory ...

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Data Science Associate information

See Madison, WI salary details

$57.9K

$68.6K

$130K

How much do data science associate jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data science associate in Madison, WI is $68,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $60,000.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
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 Associate jobs in Madison, WI? For Data Science Associate jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Madison, WI look for? The top searched job categories for Data Science Associate jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Science Associate jobs? Cities near Madison, WI with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Madison, WI as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,568 per year, or $33 per hour.
Associate Scientist I

Associate Scientist I

CYNET SYSTEMS

Madison, WI โ€ข On-site

$31/hr

Contractor

Posted 10 days ago


Job description

Job Overview:

Requirement/Must Have:

  • Associate degree in a laboratory science (chemical or biological science) or medical laboratory technology from an accredited institution or equivalent laboratory training and experience.
  • 60 semester hours or equivalent from an accredited institution that includes either 24 semester hours of medical laboratory technology courses, OR 24 semester hours of science courses that include six semester hours of chemistry, six semester hours of biology, and 12 semester hours of chemistry, biology, or medical laboratory technology in any combination.
  • Authorization to work in the United States without sponsorship.
  • Demonstrated ability to perform the Essential Duties of the position with or without accommodation.
  • Professional working knowledge of local, state, and federal laboratory regulations.

Responsibilities:

  • Perform moderate and highly complex laboratory tests, procedures, and analyses according to the laboratoryโ€™s standard operating procedures.
  • Perform, review, and document laboratory quality control procedures.
  • Operate, maintain, and troubleshoot laboratory equipment.
  • Prepare reagents required for laboratory testing.
  • Identify and troubleshoot basic problems that adversely affect test performance and/or laboratory operations.
  • Achieve and maintain competency on laboratory tasks.
  • Assist with mentoring new laboratory personnel on current and new procedures, as needed.
  • Maintain sufficient inventory of laboratory supplies for daily operations.
  • Participate in testing and validation of new laboratory equipment and procedures, as needed.
  • Maintain stringent standards for quality, identifying any issues which might adversely impact the quality of test results and/or employee safety, and communicating these to the appropriate management representatives as necessary for resolution.
  • Manage daily test processing needs along with project needs in a high quality, efficient and effective manner.
  • Communicate effectively with ability to maintain open communication with internal employees, managers, and customers, as needed.
  • Participate in quality assurance and inspection preparation activities.
  • Integrate and apply feedback in a professional manner.
  • Participate in continuing education and staff meetings. Responsible for own professional development.
  • Meet productivity and TAT expectations.
  • Work as part of a team.
  • Be flexible with tasks and schedules.
  • Excellent attention to detail.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Demonstrate adaptability by embracing changes in the laboratory with a positive attitude.
  • Support and comply with the companyโ€™s Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Act with an inclusive mindset.

Nice to Have:

  • Bachelor's degree in a chemical, biological or clinical laboratory science or medical technology from an accredited institution.
  • For degrees not in those listed above: 90 semester hours which must include 16 semester hours in chemistry (6 of which must be in inorganic chemistry); 16 semester hours in biology courses; and 3 semester hours of math.
  • Experience in molecular biology techniques and principles.

Skills:

  • Ability to work overtime, as needed.
  • Ability to lift up to 40 pounds for approximately 25% of a typical working day.
  • Ability to work seated for approximately 50% of a typical working day.
  • Ability to work standing for approximately 50% of a typical working day.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 75% of a typical working day.
  • Ability to perform technical work up to 95% of a typical working day and administrative work up to 5% of a typical working day.
  • Ability to grasp with both hands; pinch with thumb and forefinger; turn with hand/Client; reach above shoulder height.
  • Ability to use various types of laboratory equipment and perform repetitive motions.
  • Ability to comply with any applicable personal protective equipment requirements.
  • Comply with safety and hazard regulations as outlined in the clinical laboratory safety manual.
  • Ability to use near vision to view samples at close range.
  • May be exposed to hazardous materials, tissue specimens, blood or blood products and instruments with moving parts, lasers, heating and freezing elements, and high-speed centrifugation.
  • Observe principles of data security and patient confidentiality.
  • Maintain ethical standards in the performance of testing and in interactions with patients, co-workers, and other health care professionals.
  • Travel between Exact Sciences sites may be required.
ย 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asiaโ€”ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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