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Data Science Professor Jobs in Wisconsin (NOW HIRING)

Howard

Associate Professor

Downing, WI

$100K - $115K/yr

Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or health informatics. * Collaborate across disciplines to apply AI methodologies to analyze and model ...

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Data Science Professor information

See Wisconsin salary details

$20.5K

$101.2K

$191.3K

How much do data science professor jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data science professor in Wisconsin is $101,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,961.00 and $142,448.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science Professor position, and why are they important?

To thrive as a Data Science Professor, you need a robust background in statistics, machine learning, and programming, typically supported by a Ph.D. in data science, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and big data platforms, along with experience in publishing research, is highly valued. Strong communication, mentorship, and organizational skills help in delivering effective lectures, guiding student projects, and collaborating with peers. These abilities are critical for providing high-quality education, advancing research, and preparing students for real-world data science careers.

What are the main responsibilities of a Data Science Professor on a daily basis?

As a Data Science Professor, your daily responsibilities typically include preparing and delivering lectures, designing curriculum and assignments, supervising student research projects, and staying up to date with advancements in the field. You will also spend time advising students, collaborating with academic colleagues, and conducting research for publication in scholarly journals. Many professors also participate in departmental meetings, grant writing, and community outreach. This dynamic mix of teaching, research, and collaboration ensures both professional growth and meaningful contribution to the academic community.

What is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

Is AI replacing data scientists?

Data science professors and data scientists work together to develop and interpret AI models, but AI is not replacing data scientists; instead, it is augmenting their roles by automating routine tasks and enabling more complex analysis. Data scientists' skills in understanding data, designing algorithms, and interpreting results remain essential for effective AI deployment and innovation in the field.

What is the salary of a PhD in data science?

A Data Science Professor with a PhD typically earns between $70,000 and $150,000 annually, depending on the institution, experience, and geographic location. Salaries may be higher for those with extensive research, publications, or administrative responsibilities.

What does a Data Science Professor do?

A Data Science Professor teaches courses on data science, machine learning, and statistics at a university or college. They conduct research in areas like artificial intelligence, big data, or analytics while mentoring students in academic and professional development. Their role also includes publishing research papers, securing grants, and collaborating with industry partners to advance data science education and innovation.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.
What are popular job titles related to Data Science Professor jobs in Wisconsin? For Data Science Professor jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Professor jobs in Wisconsin look for? The top searched job categories for Data Science Professor jobs in Wisconsin are:
Data Science Professor jobs near you

Associate Professor

Howard

Downing, WI

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

The Department of Electrical Engineering and Computer Science - AI Cluster Hire Initiative

The Department of Electrical Engineering and Computer Science in the College of Engineering

and Architecture at Howard University invites applications for a full-time, tenure-track position

for a broadly trained computer scientist with research expertise and teaching interests in

advancing artificial intelligence to address healthcare challenges with a focus on multimodal

foundation models to clinical decision support systems. With an anticipated start date of August

2026, this position is part of the Office of the Provost Artificial Intelligence (AI) Cluster Hire

Initiative, which aims to expand AI interdisciplinary research and instruction across the

University

This position is part of the cluster, "Development and Application of Multimodal Foundation

Models to Clinical Decision Support Systems," which is jointly led by the College of

Engineering and Architecture and the College of Medicine. The goal is to bring together and

invest in faculty across departments whose research and scholarship are linked through this

cluster and to attract faculty members who can bring different perspectives.

This cluster aims to recruit scholars with expertise in the development of AI models and

multimodal models, as well as their application to electronic medical records (EMR). These

efforts will contribute to generating predictive insights about patients' health and well-being,

addressing critical challenges in healthcare delivery, and improving health outcomes.

Key Responsibilities:

  • Conduct cutting-edge, interdisciplinary research in AI with a focus on health applications.
  • Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or health informatics.
  • Collaborate across disciplines to apply AI methodologies to analyze and model complex healthcare data, including EMRs.
  • Pursue external funding to support research and training initiatives.
  • Mentor students from diverse backgrounds, fostering an inclusive and equitable academic environment.

Qualifications

  • A Ph.D. or equivalent terminal degree in a relevant field, such as computer science or data science.
  • Demonstrated ability or potential to secure external funding for research.
  • Experience or potential for excellence in teaching at the undergraduate and graduate levels.
  • Proven ability to work collaboratively in interdisciplinary research environments.
  • Demonstrated expertise in AI, machine learning, or multimodal modeling.
  • A record of (or potential for) impactful research, evidenced by publications, grants, or industry partnerships.
  • Experience or interest in applying AI to EMR data or healthcare challenges.
  • A commitment to interdisciplinary collaboration and promoting student access to and engagement in their teaching and research/scholarship/creative activities.

Salary Range: $100,000 - $115,000

About Howard University

Howard University is a premier Historically Black College and University (HBCU) committed to

excellence in teaching, research, and service, offering a vibrant academic community engaged in

interdisciplinary innovation, social impact, and collaborations across campus, including with

Howard University Hospital. The Computer Science Program, housed in the Department of

Electrical Engineering and Computer Science within the College of Engineering and

Architecture (CEA), benefits from CEA's fully accredited engineering, architecture, and

computing programs and its strong federal, industry, and research partnerships in Washington,

D.C. The program supports robust undergraduate and graduate offerings and advances research

in areas such as artificial intelligence, cybersecurity, data science, software engineering, and

emerging AI-and-health applications.

Howard University is committed to providing equal opportunity in employment as well as in its educational programs and activities. The University prohibits discrimination or harassment based on race, color, national and ethnic origin, sex, marital status, religion, disability, veteran status, sexual orientation, political affiliation, gender identity, or any other classification, activities, or conditions protected by applicable law. For more information on Howard University, call 202-238- 2330, or visit the University's Web site at www.howard.edu.

EEO: The University does not discriminate based on race, color, national and ethnic origin, sex, marital status, religion, or disability. Veteran status and people with disabilities are encouraged to apply. Inquiries regarding provisions for persons with disabilities, equal opportunity, and Title IX would be directed to the Office of the Vice President for Human Resources.

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