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Associate Data Scientist Jobs in Middleton, WI (NOW HIRING)

High school diploma / GED and 10 years of Data Sciences experience OR Associate's degree and 8 years of Data Sciences experience OR Bachelor's degree and 4 years of Data Sciences experience OR Master ...

Associate Data Engineer

Madison, WI · On-site

$85K - $162K/yr

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 ...

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 ...

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 ...

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Associate Data Scientist information

See Middleton, WI salary details

$57.7K

$68.3K

$129.5K

How much do associate data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate data scientist in Middleton, WI is $68,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $59,700.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

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

AspectAssociate Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Middleton, WI?

The most popular types of Data Scientist jobs in Middleton, WI are:

What are popular job titles related to Associate Data Scientist jobs in Middleton, WI?

For Associate Data Scientist jobs in Middleton, WI, the most frequently searched job titles are:

What cities near Middleton, WI are hiring for Associate Data Scientist jobs?

Cities near Middleton, WI with the most Associate Data Scientist job openings:

Infographic showing various Associate Data Scientist job openings in Middleton, WI as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,280 per year, or $32.8 per hour.

Senior Data Scientist - Madison WI

MSCCN

Mcfarland, WI • On-site

$100K/yr

Full-time

Posted 21 days ago


Job description


ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Senior Data Scientist
What you will do
Let's do this! Let's change the world!
In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes, including but not limited to, cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development.
The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging cross-functional projects. Fundamental understanding of bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction kinetics) is preferred. The candidate will be part of cross-functional project teams with frequent interactions with Amgen's SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for use by engineers and scientists.
Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact-level insights.
Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.
Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.
Additional Qualifications/Responsibilities
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The Data Sciences professional we seek is an individual with these qualifications.
Basic Qualifications:
High school diploma / GED and 10 years of Data Sciences experience OR
Associate's degree and 8 years of Data Sciences experience OR
Bachelor's degree and 4 years of Data Sciences experience OR
Master's degree and 2 years of Data Sciences experience OR
Doctorate degree
Preferred Qualifications:
Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field
Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics, reaction kinetics)
Experience in applying AI and ML algorithms to produce data-driven solutions to engineering problems
Track record of leading modeling and data science projects
3+ yrs of coding experience in Python
Understanding of biopharmaceuticals process and related unit operations
Experience using Git for version control
Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)
Experience with data engineering & visualization tools (e.g., Databricks, Spotfire) as well as cloud computing and data storage systems such as AWS
Experience leveraging AI tools to generate agentic solutions for scientific workflows
Independent, self-motivated, organized, and able to multi-task in time-sensitive environments
Excellent communication skills (written and verbal)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
What you can expect from us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Salary Range
134,168.25USD -181,521.75 USD