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Computer Science Statistics Jobs in Pennsylvania

Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ years of experience in data analysis, statistical modeling, or computational work * Strong expertise ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ years of experience in data analysis, statistical modeling, or computational work * Strong expertise ...

Bachelor's degree in Data science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field required. Master ...

Qualifications Qualifications: • Bachelor's degree in Data science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related ...

Bachelor's degree in Data science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field required. Master ...

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Computer Science Statistics information

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.

Is computer science dead due to AI?

Computer science professionals continue to be essential as AI advances, focusing on developing algorithms, data structures, and software systems. AI creates new opportunities for computer scientists in areas like machine learning, data analysis, and automation, making the field dynamic and evolving rather than obsolete.

What profession makes $400,000 a year?

In the field of computer science, senior roles such as software engineering managers, data science directors, and specialized cybersecurity experts can earn $400,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in high-demand areas like machine learning, cloud computing, or cybersecurity.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in areas like data analysis, machine learning, and algorithms. It provides foundational knowledge for interpreting data, developing models, and making informed decisions in software development and research.

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 job makes $10,000 a month without a degree?

In computer science and related fields, roles such as freelance software developers, cybersecurity consultants, or data analysts can earn $10,000 or more per month through contract work, freelancing, or consulting. Success in these roles typically depends on skills, experience, and a strong portfolio, rather than formal degrees.

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 SCIENTIST

$167K/yr

Other

Posted 6 days ago


U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 529 frontline employees who took The Breakroom Quiz

25th of 46 rated military and defense


Job description

DCSA Acquisition and Technology, National Background Investigation Services (NBIS) is seeking a Software Engineer, to serve as a technical expert in the multidisciplinary fields of Product Management, enterprise architecture, infrastructure, software development, data management and governance, tool development, systems engineering, sustainment, and related subject matter areas as they pertain to an enterprise system. Visit www.dcsa.mil to learn more about DCSA, America's Gatekeeper!Qualifications:This position has a Basic Requirement for the 1550: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.
The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Computer Science Series 1550 for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 07/06/2026
Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position.
You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GS/GG-14 in the Federal service and are prepared to take on greater responsibility.
Generally, this would include one year or more of such specialized experience.
Specialized experience for this position includes: Engineering and maintaining enterprise-level backend software architectures and data integration systems; designing containerized microservices and Application Programming Interface-first integration frameworks; developing scalable core backend services, robust data ingestion pipelines, and secure authentication/authorization layers; architecting and managing high-volume Application Programming Interface connections to numerous external data providers (to include managing rate limiting, error handling, and token authentication); establishing rigorous coding standards and technical debt governance; and utilizing Agile methodologies to iteratively develop, test, and release backend software solutions that support critical organizational or national security missions.
Specifically you will be evaluated on the following competencies:
  1. Artificial Intelligence: Knowledge of the principles, methods, and tools used to design systems that perform human intelligence functions.
  2. Data Systems and Management: Plan, develop, implement, and administer the collection, storage, maintenance, integrity, and retrieval of data, using knowledge of computer hardware, software, and systems.
  3. Engineering and Technology: Knowledge of engineering concepts, principles, and practices, and of equipment, tools, mechanical devices, and their uses to produce motion, light, power, technology, and other applications.
  4. Requirements Analysis: Knowledge of the principles and methods to identify, analyze, specify, design, and manage functional and infrastructure requirements; includes translating functional requirements into technical requirements used for logical design or presenting alternative technologies or approaches.
Education:Substitution of education may not be used in lieu of specialized experience for this grade level.Employment Type: OTHER

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