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

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Danaher

Principal Clinical Scientist

Milwaukee, WI · On-site +1

Our associates are involved in every stage of diagnostics, from ideation to development and ... Ability to critically review and interpret scientific and clinical trial data, and oversee the ...

Network Health

Data Warehouse Engineer I

Brookfield, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

Network Health

Data Warehouse Engineer I

Brookfield, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

landmarkcu

VP, Analytics & AI

Brookfield, WI · On-site

... help our associates grow their careers. Bring your authentic self to work as part of an ... Bachelor's degree required in a quantitative, technical, or related field such as Data Science ...

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Showing results 21-40

All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Milwaukee, WI

Associate Data Scientist information

See Milwaukee, WI salary details

$56.7K

$67K

$127.1K

How much do associate data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for associate data scientist in Milwaukee, WI is $67,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $58,600.00 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.

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Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $67,035 per year, or $32.2 per hour.

Postdoctoral Researcher - Data Science Institute

Medical College of Wisconsin

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

265th of 629 rated colleges and universities

Job description

Summary

According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.


The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications.


A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health, working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).

Primary Responsibilities

  • Contribute to the development of the Ontology for Modeling and Representation of Social Entities (OMRSE); manage the issue tracker; create periodic releases; lead development meetings.

  • APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.

  • Participate in APRICOT meetings, events.

  • Contribute to the development of the Rehabilitation Ontology (REHABO); manage the issue tracker; create periodic releases; lead development meetings.

  • Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings

General responsibilities:

  • Plan, design and execute complex research studies, procedures and protocols.

  • Participate in discovery projects.

  • Coordinate research study activities; lead and manage projects.

  • Oversee organization, synthesis and analysis of data and findings.

  • Prepare scientific reports, outcome findings and scientific manuscripts.

  • Participate in meetings with principal investigator and research staff in which you will evaluate/interpret the validity of data, develop methodologies, and design and evaluate lab procedures.

  • Maintain supplies, may require negotiation with vendors, and track purchase orders.

  • May oversee the work of laboratory personnel including training and development as well as daily work direction, delegation and establishing priorities.

  • Other duties as assigned.

Knowledge - Skills - Abilities

  • Required knowledge: ontology, terminology, controlled vocabularies, data models

  • Technical knowledge: Web Ontology Language, Protege, GitHub

  • Strong interest in multi-disciplinary collaboration

  • Writing skills

  • Skills and abilities: presentation skills, organization, time management, multi-tasking.

  • Documentation and records management

  • Data utilization

  • Complex problem solving and critical thinking

  • Resource management

Qualifications

Minimum Required Education: PhD in a scientific field or MD

Minimum Required Experience: 0 years

Preferred Education: PhD in Biomedical Informatics or related field

Preferred Experience: Ontology, semantic web, referent tracking

Physical Requirements

Work requires occasionally lifting moderate weight materials, standing, or walking continuously.

Work Environment

Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.

Sensory Acuity

Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.

Why MCW?

  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options

  • 403B Retirement Package

  • Competitive Vacation and Paid Holidays offered

  • Tuition Reimbursement

  • Paid Parental Leave

  • Employee & Family Assistance Program (EFAP)

  • Pet Insurance

  • On campus Fitness Facility, offering onsite classes

  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview

For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.


MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:

The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

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About Medical College of Wisconsin

Sourced by ZipRecruiter

The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

Social media

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