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Computer Science Statistics Jobs in Pennsylvania

Cmu

Data Scientist

Pittsburgh, PA · On-site

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training ...

Cmu

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) years of experience or equivalent combination of training ...

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Computer Science Statistics information

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

What is a Computer Science Statistics job?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

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

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

What are the most commonly searched types of Computer Science Statistics jobs in Pennsylvania? The most popular types of Computer Science Statistics jobs in Pennsylvania are:
What are popular job titles related to Computer Science Statistics jobs in Pennsylvania? For Computer Science Statistics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Computer Science Statistics jobs in Pennsylvania look for? The top searched job categories for Computer Science Statistics jobs in Pennsylvania are:
Computer Science Statistics jobs near you
Assistant Professor of Data Science and Computer Science

Assistant Professor of Data Science and Computer Science

Lafayette College

Easton, PA • On-site

Full-time

Posted 17 days ago

Job description

Description
The Lafayette College Data Science Program and Computer Science Department invite applications for a joint full-time, tenure-track position at the rank of Assistant Professor commencing July 2026. Candidates from all data science related research areas, including interdisciplinary ones, are encouraged to apply. Candidates will have earned, or be near completion of, a Ph.D. in data science, computer science, statistics or a related field by the start of their appointment. We especially welcome applications from candidates who will contribute to Lafayette's commitment to diversity and inclusion, and who are interested in guiding student research.
The Data Science program offers a balanced minor that, in addition to technical statistical and computing skills, requires all students to consider the ethics of how data science products are created and used, and by/for whom they are created. Since its initiation, the Data Science program has been growing very quickly, and producing large numbers of minors. The Data Science program works in close collaboration with the Department of Computer Science, which offers both Bachelor of Science and Bachelor of Arts degrees in computer science, as well as minors in computer science and computational methods. Faculty members teach the equivalent of four courses in their first year and five courses (3:2) per year thereafter. For this position, the typical 5 course load will be split with 3 being in data science and 2 in computer science. The college, the program, and the department are very supportive of research. The college offers startup packages, funds for conference/research travel, and a student research program (the EXCEL Scholars program) where students collaborate closely with faculty to support their research goals. The students in our programs are also very active, with two vibrant organizations: Women in Computing (WinC) and a student Association for Computing Machinery (ACM) chapter. For more details about the department, program, and position, please see our webpages: https://compsci.lafayette.edu and https://datascience.lafayette.edu.
The Department of Computer Science is one of five ABET-accredited Bachelor of Science programs at Lafayette. Department faculty have a diverse set of interests ranging from theoretical computer science to applied computing problems, with specific expertise in artificial intelligence, complexity theory, human-computer interface, logic, machine learning, natural language processing, computational epidemiology, and natural computing. Reflecting this wide range of interests, the Department of Computer Science has an interdisciplinary perspective leading us to build bridges across the college to support computation in all its many forms.
Located within 70 miles of New York City and Philadelphia, Lafayette College is a highly selective undergraduate liberal arts and engineering institution with significant resources to support faculty members in their teaching and scholarship. Lafayette College is committed to creating a diverse community, one that is inclusive and responsive, and is supportive of its faculty, students, and staff. All members of the College community share a responsibility for creating, maintaining, and developing a learning environment in which difference is valued, equity is sought, and inclusiveness is practiced. Lafayette welcomes applicants from diverse backgrounds.
Application Instructions
Applicants will use Interfolio at https://apply.interfolio.com/172251 to submit a cover letter, curriculum vitae, statement of teaching philosophy, research statement, and three letters of reference. In the cover letter, candidates should address how their teaching, research, and service will support Lafayette's commitment to diversity and inclusion articulated in the College's diversity statement (http://www.lafayette.edu/about/diversity-statement).
Review of applications will begin on September 29, 2025. However, applications will be accepted until the position is filled. Questions about the position should be directed to Prof. Trent Gaugler, Associate Professor of Mathematical Sciences, Chair of the Data Science Program, and Search Committee Chair, at gauglert@lafayette.edu.

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