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$22.5K

$110.8K

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How much do data science professor jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science professor in the United States is $110,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $156,000.00 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.
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Data Science Professor jobs near you

Tenure-Track Data Science Professor

The International Society for Bayesian Analysis

Washington, DC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

American University invites applications for a tenure-track Assistant Professor position in the Department of Mathematics and Statistics. The successful candidate will possess a PhD in Data Science or a closely related field, demonstrate a clear record of relevant academic and professional experience, and be committed to engaging in meaningful scholarship and active teaching. Responsibilities include research, teaching, and service within the department.

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