2

Statistics Computer Science Entry Level Jobs (NOW HIRING)

Master's degree in mathematics, statistics, computer science, physics, or a STEM related field #LI-AN1 #LI-Onsite

next page

Showing results 1-20

Statistics Computer Science Entry Level information

See salary details

$50.5K

$111.3K

$137.5K

How much do statistics computer science entry level jobs pay per year?

As of May 31, 2026, the average yearly pay for statistics computer science entry level in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Statistics Computer Science professional, and why are they important?

To thrive as an Entry Level Statistics Computer Science professional, you need a solid understanding of statistical methods, data analysis, and basic programming skills, typically supported by a degree in statistics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization libraries, as well as experience with version control systems such as Git, is highly valuable. Analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with diverse teams. These skills ensure accurate data-driven insights, efficient problem-solving, and successful contributions to technical projects in a data-oriented workplace.

What types of projects can an entry-level Statistics Computer Science professional expect to work on, and how does teamwork typically factor into these projects?

As an entry-level Statistics Computer Science professional, you can expect to work on projects involving data analysis, data cleaning, and the development of basic algorithms or models. You’ll often collaborate closely with data scientists, engineers, and sometimes business analysts, contributing to tasks such as preparing datasets, writing scripts for data processing, and supporting the implementation of statistical models. Teamwork is essential, as projects are typically cross-functional and require clear communication and cooperation to ensure the accuracy and efficiency of outcomes. This collaborative environment provides a great opportunity to learn from more experienced colleagues and grow your technical and soft skills.

What are entry-level statistics computer science jobs?

Entry-level statistics computer science jobs are positions designed for recent graduates or individuals with limited professional experience in both statistics and computer science. These roles often focus on data analysis, software development, or applying statistical methods to solve computational problems. Typical job titles include data analyst, junior data scientist, statistical programmer, or research assistant. Employers may seek candidates with knowledge of programming languages like Python or R, as well as a strong foundation in statistical concepts. These positions provide valuable experience and a pathway to more advanced roles in data science or analytics.
More about Statistics Computer Science Entry Level jobs

Adjunct Instructor - Mathematics/Statistics

Harris-Stowe State University

Saint Louis, MO • On-site

Full-time

Posted 16 days ago


Job description

Summary

The Department of Mathematics and Applied Sciences (MAS) at Harris-Stowe State University is creating a pool of potential adjunct instructors to teach mathematics, statistics, introductory computer programming, and/or data sciences. Courses in Statistics use the R statistical language and courses in data science use Python. Appointments are for immediate and upcoming semesters on as as-needed basis semester to semester. Generally, an adjunct instructor will teach a minimum of one course per academic year.

Essential Functions

  • Prepares and delivers lectures, leads discussions, and performs other activities which are related to and meet course requirements for relevant MAS course(s).
  • Maintains course syllabi and provides each student with a written statement of course requirements at the beginning of each semester.
  • Conducts appropriate evaluations of student's performances and assigns grades on the basis of such evaluations.
  • Maintains and provides reports and/or records of student grades and attendance according to University requirements.
  • Becomes familiar with, utilizes and/or adheres to institutional and college tools and policies, including the Canvas Learning Management System, attendance, grade-reporting and record-keeping.
  • Attend adjunct-specific orientation meetings with the Dean, Chair, Adjunct faculty-liaison and/or with the institution.

Minimum Education and Experience

The successful candidate must possess a Doctorate or a Master’s Degree in Mathematics, Applied Mathematics, Mathematics Education, Statistics, Computer Science, or a closely related field from an accredited university. In addition, eighteen (18) credit hours of graduate level coursework must be related to the area of instruction.

Knowledge, Skills, and Abilities

  • Strong understanding of the pedagogies of University level teaching, particularly for first generation University students.
  • Good Knowledge of principles and theory of teaching field.
  • Ability to communicate effectively, both orally and in writing.
  • Ability to exercise critical human relations skills in establishing and maintaining effective working relations with students and University community.

"Please No Phone Calls"

Due to the large number of applications submitted and the high volume of applicant inquiries we receive regarding the status of applications, we are unable to accept phone calls or walk-in inquiries regarding applicant status. Only those candidates selected for interviews will be contacted.

EOE Statement

Harris-Stowe State University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.