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Master Science Jobs in Madison, WI (NOW HIRING)

S. or Master's degree in a Life Science discipline such as Chemistry, Biology, Biochemistry, or a related field. * 2-5 years of hands-on experience working with LC-MS or LC-MS/MS systems, with at ...

Senior Scientist - Applications

Madison, WI · On-site

$92K - $126K/yr

... science, patients, and yourself. Our headquarters is in Madison, Wisconsin, a dynamic city ... Master's degree in a comparable field plus at least seven (7) years of relevant experience; or a ...

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Master Science information

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How much do master science jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for master science in Madison, WI is $58.47, according to ZipRecruiter salary data. Most workers in this role earn between $49.90 and $66.59 per hour, depending on experience, location, and employer.

What can I do with a master's degree in science?

A master's degree in science qualifies individuals for roles such as research scientist, laboratory technician, data analyst, or science educator. It often involves skills in data analysis, laboratory techniques, and scientific communication, and may require certifications or specialized training depending on the field.

What professions make 200,000 a year without a degree?

In the field of science, certain roles such as petroleum engineers, data scientists, and specialized technical consultants can earn $200,000 or more annually without a traditional four-year degree, often relying on extensive experience, certifications, or technical training. High-paying roles in research, engineering, or technical management may also reach this level, especially in industries like oil and gas, technology, or pharmaceuticals.

What are the key skills and qualifications needed to thrive as a Master of Science graduate, and why are they important?

To thrive as a Master of Science graduate, you need advanced analytical skills, subject-specific expertise, and a relevant master's degree in your chosen field. Familiarity with specialized software, laboratory equipment, or data analysis tools—such as MATLAB, SPSS, or GIS—may be required depending on your discipline. Strong problem-solving abilities, critical thinking, and effective communication set exceptional candidates apart. These skills and qualifications are vital for tackling complex challenges, producing high-quality research, and contributing meaningfully to scientific or technical advancements.

What are some common challenges faced by Master Science professionals when managing interdisciplinary research projects?

Professionals in Master Science roles often oversee complex projects that require collaboration across multiple scientific disciplines. A common challenge is ensuring effective communication among team members who may have different technical backgrounds and terminologies. Additionally, balancing project timelines and coordinating data integration from various sources can be demanding. Master Science professionals must also stay updated on advances in their field to effectively guide research direction and maintain project relevancy.

What jobs can I do with a master of science?

A Master of Science degree qualifies individuals for roles such as research scientist, data analyst, laboratory manager, or environmental consultant. These positions often require strong analytical skills, proficiency with specialized tools or software, and sometimes certifications or lab experience.

What is a Master Science job?

A Master Science job typically refers to a position requiring an advanced degree (Master of Science, or MSc) in a specific scientific discipline. These jobs span various fields such as engineering, healthcare, data science, and research. Holders of an MSc often work in specialized roles involving research, analysis, technical development, or teaching. Their expertise allows them to contribute to innovation, problem-solving, and advancements in their respective fields.

What is the difference between Master Science vs Bachelor Science?

AspectMaster ScienceBachelor Science
Required CredentialsMaster's degree in scienceBachelor's degree in science
Work EnvironmentResearch labs, academia, industryEntry-level roles, internships, support positions
Employer & Industry UsageAdvanced research, specialized rolesFoundational roles, general positions
Common Search & ComparisonHigher qualification, specializationEntry-level, undergraduate

The main difference between Master Science and Bachelor Science lies in the level of education and expertise. A Master Science degree provides advanced knowledge and qualifies individuals for specialized roles in research and industry, while a Bachelor Science degree is typically the foundational qualification for entry-level positions. Both degrees are used across similar work environments, but the Master Science opens doors to more advanced opportunities.

What are Master of Science degrees?

A Master of Science (MS or MSc) is a postgraduate academic degree awarded in fields related to science, technology, engineering, mathematics, and some social sciences. These programs typically focus on scientific, analytical, or technical subjects and emphasize research, practical skills, and theoretical knowledge. Earning an MS degree usually takes one to two years of full-time study after a bachelor's degree. Graduates often pursue careers in research, industry, or continue their education with a doctoral program.

What professions make $500,000 a year?

In the field of science, senior roles such as chief scientific officers, research directors, or specialized consultants in industries like pharmaceuticals, biotechnology, or data science can earn $500,000 or more annually. These positions typically require advanced degrees, extensive experience, and leadership responsibilities, often combined with bonuses or profit-sharing arrangements.
What cities near Madison, WI are hiring for Master Science jobs? Cities near Madison, WI with the most Master Science job openings:
Infographic showing various Master Science job openings in Madison, WI as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $121,608 per year, or $58.5 per hour.
Lead, Master Data Management

Lead, Master Data Management

Springs Window Fashions

Middleton, WI • On-site

Full-time

Posted 7 days ago

New


Springs Window Fashions rating

5.3

Company rating: 5.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Springs Window Fashions is North America’s premier window covering company, dedicated to creating the Best Experience for all stakeholders. The Lead, Master Data Management will oversee enterprise MDM initiatives, balancing technical execution with functional leadership to design and enhance scalable master data solutions across business processes.
Responsibilities:
• Serve as a functional lead on MDM initiatives, guiding solution design, process definition, stewardship practices, and alignment with MDM standards and governance expectations.
• Mentor and guide MDM Application Developers, MDM Analysts, and business data stewards, supporting skill development, knowledge sharing, and best practice adoption.
• Partner with business stakeholders, Data Engineering, BI & Analytics, Financial Systems, and other IT counterparts to translate master data needs into scalable, governed solutions.
• Coordinate cross-functional MDM workstreams, helping prioritize issues, resolve data and process challenges, and maintain continuity across systems and domains.
• Serve as a backup to the Manager, Master Data Management, or as the primary MDM functional lead when needed, supporting stakeholder engagement, initiative leadership, and MDM delivery continuity.
• Design, develop, and enhance master data solutions, workflows, data models, hierarchies, validation rules, and supporting processes across key enterprise data domains.
• Support the evaluation, selection, and implementation of MDM platforms and tools to enable scalable and sustainable master data management capabilities.
• Ensure MDM solutions support multiple data domains, including customer, product, vendor, financial, and other critical enterprise data.
• Provide technical leadership in defining data models, hierarchies, solution workflows, and supporting structures that enable efficient, governed master data management.
• Collaborate with Data Engineering & Architecture teams to align MDM solutions with enterprise data platforms, integration patterns, and downstream analytics needs.
• Support the definition and adoption of master data standards, ownership models, stewardship workflows, and lifecycle management processes.
• Partner with business data stewards to define data quality rules, validation logic, approval workflows, and maintenance processes.
• Develop and monitor data quality standards, controls, and metrics to improve master data accuracy and consistency.
• Drive root cause analysis and resolution of data quality issues across systems.
• Lead continuous improvement of master data processes, workflows, and controls.
• Collaborate with the Data Warehousing & Integration (DAWGs) team to ensure master data is consistently integrated across enterprise systems and analytics platforms.
• Partner with BI & Analytics teams to support trusted master data for reporting, dashboards, certified datasets, and decision-making.
• Work closely with Financial Systems, Pricing, ERP, and operational teams to align master data structures with business processes and system requirements.
• Support integration of multiple data sources and applications to enable reliable, consistent master data flows across enterprise platforms.
• Contribute to documentation of data flows, source-to-target mappings, data definitions, and integration patterns that support enterprise data consistency.
• Oversee support and drive improvement of MDM applications and processes, including issue resolution, enhancements, performance optimization, and workflow efficiency.
• Ensure appropriate testing and release management practices are followed for MDM solutions to support reliable delivery and operational continuity.
• Maintain documentation of MDM processes, solution designs, data structures, standards, and support procedures to enable knowledge transfer and consistent execution.
• Track solution effectiveness and identify opportunities to mature MDM capabilities toward governed, decentralized maintenance, improved data quality, and scalable stewardship.
Qualifications:
Required:
• 4+ years of progressive experience in master data management, data governance, enterprise application development, or related enterprise data roles.
• Bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Management, Data Science, Business Analytics, or a related field required.
• Professional certifications in data management, data governance, MDM platforms, business analysis, cloud platforms, or related technologies (e.g., Informatica, Microsoft Azure, AWS, or similar) are highly valued.
• Experience translating business requirements into scalable technical solutions, data processes, workflows, validation rules, and data quality controls.
• Experience designing, developing, supporting, or improving master data solutions, data models, workflows, or enterprise data applications.
• Demonstrated commitment to ongoing professional development through training, certifications, conferences, and industry engagement.
• Strong proficiency in SQL and relational database concepts, with experience working with complex, multi-source datasets.
• Familiarity with data governance practices, data quality management, stewardship workflows, and master data lifecycle processes.
• Demonstrated ability to analyze complex data and process issues, perform root cause analysis, and develop practical solutions that improve data accuracy and reliability.
• Experience collaborating across business and technical teams to deliver data-driven solutions aligned with operational, financial, analytical, or enterprise system needs.
• Ability to provide guidance, influence stakeholders, and support alignment across cross-functional teams without relying solely on formal authority.
• Strong communication skills with the ability to explain technical and data concepts to technical and non-technical stakeholders.
Preferred:
• Contribution to MDM or data governance initiatives in an enterprise environment.
• Familiarity with MDM platforms or tools such as Informatica MDM, Reltio, Profisee, SAP MDG, Microsoft-based solutions, or similar technologies.
• Working knowledge of multiple master data domains such as customer, product, vendor, financial, location, or organizational data.
• Background supporting ERP, financial systems, pricing systems, product configuration, or other complex enterprise data structures.
• Exposure to manufacturing, consumer products, or similarly complex environments with configurable products, multi-system data flows, or distributed data ownership.
• Demonstrated ability to mentor technical or business team members, lead workstreams, or act as a lead contributor on data-related initiatives.
Company:
Springs Window Fashions supplies leading retailers and distributors with a complete line of blinds, shades, specialty treatments. Founded in 1939, the company is headquartered in Middleton, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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