Data Science refers to the interdisciplinary practice of extracting valuable insights from vast amounts of data using a combination of programming, statistics, and domain expertise. In higher education, Data Science jobs involve teaching courses on data analysis, machine learning, and big data technologies while conducting cutting-edge research that influences industries from healthcare to climate modeling. The field has exploded in relevance since the early 2010s, fueled by the big data revolution and advancements in artificial intelligence. Academics in this area help universities build data-driven curricula and collaborate on interdisciplinary projects, making Data Science positions highly sought after for their intellectual challenge and societal impact.
For instance, at institutions like the University of California, Berkeley, Data Science faculty lead initiatives analyzing student success metrics, as highlighted in recent trends on <a href='/higher-education-news/higher-education-student-success-trends-for-2026-key-data-points-and-emerging-insights-637'>student success trends</a>. Whether you're eyeing lecturer roles or tenure-track professor positions, understanding the core meaning of Data Science—turning raw data into actionable knowledge—is essential.
The term Data Science was popularized around 2001 by statistician William S. Cleveland, evolving from earlier fields like statistics and computer science. In academia, dedicated Data Science departments emerged post-2010, with pioneers like NYU and Stanford launching programs. Today, Data Science jobs in higher education blend traditional research with practical applications, such as AI-driven discoveries seen in <a href='/higher-education-news/the-ai-revolution-in-materials-science-breakthroughs-and-trends-shaping-2026-587'>AI breakthroughs in materials science</a>. This evolution reflects the field's shift from theoretical stats to real-world problem-solving, creating diverse opportunities from research assistants to department chairs.
To secure Data Science positions in higher education, candidates typically need a PhD in Data Science, Computer Science, Statistics, Mathematics, or a closely related discipline. For entry-level roles like research assistants, a master's degree with strong quantitative coursework suffices. Preferred experience includes peer-reviewed publications in top venues like NeurIPS or ICML, successful grant applications from bodies like the National Science Foundation (NSF), and teaching experience, such as leading undergraduate data analytics labs.
Research focus often centers on high-impact areas like ethical AI, predictive modeling for social sciences, or scalable algorithms for big data. In regions like American Samoa, where institutions such as American Samoa Community College emphasize practical tech training, advanced Data Science roles may involve outreach to U.S. mainland universities or remote collaborations.
Essential skills for Data Science jobs include proficiency in programming languages like Python and R, database management with SQL, and machine learning libraries such as TensorFlow or scikit-learn. Statistical competencies—hypothesis testing, regression analysis—are foundational, alongside soft skills like communicating complex findings to non-experts.
Actionable advice: Build a portfolio of GitHub projects showcasing real datasets, and pursue certifications like Google Data Analytics to stand out in competitive academic markets.
Machine Learning (ML): A branch of artificial intelligence where computer systems learn patterns from data to make predictions or decisions without explicit programming.
Big Data: Extremely large datasets that traditional processing tools cannot handle efficiently, often characterized by volume, velocity, and variety.
Artificial Intelligence (AI): The simulation of human intelligence in machines, encompassing ML and other techniques for tasks like natural language processing.
Data Science jobs span lecturer positions earning around $115,000 annually, as in <a href='/higher-ed-career-advice/become-a-university-lecturer-earn-115k'>university lecturer paths</a>, to postdoctoral research roles focusing on thriving in labs. To excel, network at conferences, tailor applications to institutional priorities, and leverage resources like <a href='/higher-ed-career-advice/how-to-excel-as-a-research-assistant-in-australia'>research assistant tips</a> adaptable globally. For CV perfection, review <a href='/higher-ed-career-advice/how-to-write-a-winning-academic-cv'>academic CV guides</a>. The field offers stability with projected growth, especially amid AI infrastructure booms.
Ready to launch your career in Data Science jobs? Explore openings on <a href='/higher-ed-jobs'>higher ed jobs</a>, gain insights from <a href='/higher-ed-career-advice'>higher ed career advice</a>, browse <a href='/university-jobs'>university jobs</a>, or connect with employers via <a href='/recruitment'>recruitment</a> services at AcademicJobs.com. Your path to impactful academic roles starts here.
Academic Jobs lists current university and higher education openings in American Samoa with filters that match how campuses hire — by job type, position, city, and institution. Use the search above to narrow the live list, then apply from the employer listing. Set an alert with the same filters so new posts reach you while they are still open.
This page is for job seekers who want higher-ed roles, not a generic job feed. The heading count is the number of matching jobs in American Samoa right now. That is the figure you should use when you decide whether to widen the region or keep filtering.
Reach qualified data science professionals across any industry. List your vacancy on AcademicJobs.com.
Get notified when new data science vacancies are posted on Academic Jobs.
There are currently no jobs available.
Get alerts from AcademicJobs.com as soon as new jobs are posted
USA, Canada, and United Kingdom
All USA, Canada, and International
All USA, USA Territories, USA Compact Free Associations, International, Israel and Canada