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Data Science Associate Jobs in Wisconsin (NOW HIRING)

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

... associates, consumers and end users, business partners, and communities. We want you to join our ... Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a ...

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 ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

... associates, consumers and end users, business partners, and communities. We want you to join our ... Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

... associates, consumers and end users, business partners, and communities. We want you to join our ... Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a ...

IT Data Engineer

Janesville, WI · On-site +1

$72K - $90K/yr

Associates hired into a full-time role will become eligible for the following benefits effective ... Bachelor's degree in computer science, Information Technology, or a related field. * 1-3 years ...

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Data Science Associate information

See Wisconsin salary details

$58K

$68.7K

$130.2K

How much do data science associate jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data science associate in Wisconsin is $68,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $60,100.00 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?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

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 is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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 are the most commonly searched types of Data Science jobs in Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
What are popular job titles related to Data Science Associate jobs in Wisconsin? For Data Science Associate jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Wisconsin look for? The top searched job categories for Data Science Associate jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science Associate jobs? Cities in Wisconsin with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,675 per year, or $33 per hour.
Provider Clinical Operations Consultant, Senior Associate

Provider Clinical Operations Consultant, Senior Associate

Pwc

Milwaukee, WI

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

21st of 58 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Provider Clinical Operations Consultant, Senior Associate, you will engage with clients in the health services sector to enhance their operational efficiency and effectiveness. Within our Management Consulting practice, you will leverage your skills to analyze complex problems and develop innovative solutions that align with client needs. This role offers the chance to build meaningful client relationships and contribute to the delivery of impactful consulting services.
As a Senior Associate, you will focus on relationship building and managing others, navigating complexity, and fostering personal growth. You will be responsible for mentoring junior team members and maintaining professional standards. Your ability to anticipate client needs and deliver quality solutions will be crucial in this role. You will also have the opportunity to deepen your understanding of the business context and develop your personal brand.
In this role, you will work closely with clients to understand their challenges and provide tailored solutions that drive operational improvements. Your contributions will be vital in helping clients achieve their strategic objectives and enhance their overall performance.
Responsibilities
- Analyzing complex operational challenges within healthcare settings to develop actionable insights
- Implementing business transformation strategies to enhance clinical operations and improve service delivery
- Utilizing analytical thinking and business data analytics to drive operational excellence and optimize processes
- Engaging with stakeholders to understand their needs and align operational strategies with business objectives
- Supporting change management initiatives to facilitate smooth transitions and improve organizational performance
- Conducting market research to identify trends and opportunities for operational improvement in health services
- Planning and executing operations strategies to streamline processes and enhance efficiency
- Collaborating with teams to foster teamwork and drive successful outcomes in clinical operations projects
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Government/Public Policy, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Organizational Management/Behavior, Risk Management/Insurance
- Demonstrating analytical thinking and business data analytics skills
- Utilizing business performance metrics for operational excellence
- Excelling in change management and process improvement strategies
- Engaging stakeholders effectively in health services projects
- Navigating complex operations management and strategy development
- Supporting client-focused operations consulting initiatives

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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