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Computer Science Statistics Jobs (NOW HIRING)

Apple

Data Scientist - Health AIML

Cupertino, CA · On-site

S. in Machine Learning, Computer Science, Statistics, Operations Research or other quantitative fields. Applicants have a good understanding of large language model (LLMs), including their ...

VTG

Data Scientist

Mclean, VA · On-site

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

Domo

Senior Data Scientist

American Fork, UT · On-site

Required : • University degree and equivalent industry experience with an emphasis in data science, statistics, behavioral science, computer science, or related field • Strong R and/or Python ...

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How much do computer science statistics jobs pay per year?

As of Jun 3, 2026, the average yearly pay for computer science statistics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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 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.
More about Computer Science Statistics jobs
What cities are hiring for Computer Science Statistics jobs? Cities with the most Computer Science Statistics job openings:
What are the most commonly searched types of Computer Science Statistics jobs? The most popular types of Computer Science Statistics jobs are:
What states have the most Computer Science Statistics jobs? States with the most job openings for Computer Science Statistics jobs include:
What job categories do people searching Computer Science Statistics jobs look for? The top searched job categories for Computer Science Statistics jobs are:
Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 3% As Needed, 20% Full Time, 67% Part Time, and 9% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science - Onsite

MILLENNIUMSOFT

Franklin Lakes, NJ

Other

Posted 19 days ago

Job description

Position                            : Data Science

Location                           : Franklin Lakes, NJ

Duration                          : 4 Months

Total Hours/week            : 40.00

Client                                : Medical Devices Company

Employment Type           : Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)

Hybrid to remote 3 days on site

Education:

Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline

Job Description:

  • We are looking for a Data Science who is passionate about data and analysis tools, has the rigor needed to solve problems, and demonstrates curiosity and enthusiasm adopting new technologies to innovate.
  • The person will report to Senior Principal Data Scientist in HEOR-RWE and be focusing on building interactive applications on Amazon Web Services (AWS) Cloud, automating data pipeline, and facilitating training.

Responsibilities:

  • In your role as a Data Science temp, you will use AWS Cloud cutting-edge technology to design/manipulate heterogenous data sets, and build or enhance applications in the areas listed below:
  • Manipulate and merge data from different sources using programming language R or Python.
  • Create and improve efficiency of data pipelines on AWS Cloud.
  • Build data visualization dashboards and add features and functionalities using AWS QuickSight.
  • You will gain experiences working on healthcare clinical trials development industry, develop data driven solutions to increase clinical research efficiency.
  • You will be working closely with other members of our Data Science team to deliver value to our business partners.

Education and Qualifications:

  • Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline.
  • Curiosity and enthusiasm about data related techniques.
  • Exposure to AWS Cloud technologies.
  • Ability to program in Python, R or similar languages.
  • Proficiency in writing SQL queries to join tables and manipulate data.
  • Test and assess the quality of new tools.
  • Eager to learn a new set of tools in AWS Cloud and work on challenging problems.
  • Strong verbal and written communication and presentation skills.
  • Able to work with internal clients with minimal supervision.

Language Requirement

  • Fluent written and spoken English

Work Environment

  • Hybrid

Apply