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Data Science Associate Jobs in Wisconsin (NOW HIRING)

Monitise

Product Management - Sr Professional

Milwaukee, WI · On-site

$124K - $164K/yr

Bachelor's degree in Computer Science, Data Science, Engineering or a related field and 2 years in ... Current associates who require a workplace accommodation should refer to Fiserv's Disability ...

Pwc

ERP AI Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

... Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of professional experience developing AI/ML systems, building full-stack ...

New

SynergisticIT

Junior Fullstack Engineer

Madison, WI

... data Science/Data Engineer, Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical ...

TalentBurst, Inc.

Associate Scientist I

Madison, WI

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 ...

Springs Window Fashions

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 ...

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All JobsData Science Associate JobsData Science Associate Jobs in Wisconsin

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 Jun 19, 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?

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 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:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Wisconsin as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, 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.
Product Management - Sr Professional

Product Management - Sr Professional

Fiserv, Inc.

Milwaukee, WI • On-site

$124K - $164K/yr

Full-time

Posted 18 days ago

Fiserv rating

7.6

Company rating: 7.6 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services

Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Product Management - Sr Professional
TITLE: Product Management - Sr Professional
EMPLOYER: Fiserv Solutions, LLC
LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management)
DUTIES: Lead the design and development of merchant-facing features to define product vision, strategy, and roadmap at a large scale, ensuring alignment of product outcomes with Fiserv's long-term goals to provide digital banking and merchant solutions. Conduct market research and analysis from internal teams and customers to identify feature gaps, customer pain points, and emerging trends, informing data-driven product decisions. Create Product Requirement Documents (PRDs) outlining features, use cases, workflows, and acceptance criteria. Act as a product advocate to internal and external partners and lead the efforts to drive issuer and merchant product performance, revenue, and operational efficiency goals. Drive the optimization of the issuer and merchant product performance, product rollout, implementation and support efficiency by introducing data-driven decision-making across the business unit.
REQUIREMENTS: Bachelor's degree in Computer Science, Data Science, Engineering or a related field and 2 years in any job title involving product management and data analytics experience. Alternatively, the employer will accept a Master's degree in Computer Science, Data Science, Engineering or a related field and 1 year in any job title involving product management and data analytics experience. Prior experience must include 1 year in the following: Defining, developing, and launching products in an Agile environment; Collaborating with customer-facing teams to identify and understand customer needs; Coordinating with cross-functional teams; Data analysis for deriving insights by creating data pipeline and queries; and Data visualization and reporting by creating interactive dashboards and reporting.
TRAVEL: None
TO APPLY: Apply by selecting "Apply" on this page and following prompts to attach resume and submit.
#P3M
JOB CODE: CR595
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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