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Computer Science Statistics Jobs in Los Angeles, CA

Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 4 years experience extracting insights from large datasets, specifically employing ...

Bachelor's Degree in Engineering, Physical Sciences, Computer Science, Statistics, Business Administration, Economics, Energy, Environmental Studies or related subjects (or applicants can substitute ...

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations Research, Physics, or a related quantitative field * 1-2 years Data Science, Advanced Analytics, Machine ...

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations Research, Physics, or a related quantitative field * 1-2 years Data Science, Advanced Analytics, Machine ...

Senior Data Scientist

Los Angeles, CA · On-site

$130K - $160K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or a related discipline. * 4-8 years of hands-on experience in data science, predictive ...

Showing results 41-60

Computer Science Statistics information

See Los Angeles, CA salary details

$40.4K

$132.3K

$211.7K

How much do computer science statistics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for computer science statistics in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.

Do computer science statisticians make a lot of money?

Computer science statisticians typically earn competitive salaries, especially with advanced skills in data analysis, programming, and statistical software. Salaries vary based on experience, education, and location, but the field generally offers strong earning potential compared to many other roles in technology and data science.

What is a computer science statistics?

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 computer science statistics majors get?

Computer science statistics majors often find employment as data analysts, data scientists, machine learning engineers, and software developers. These roles typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools. Many positions are available in technology, finance, healthcare, and consulting industries.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially for 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 do computer science statistics professionals do?

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 skills and qualifications are needed for computer science statistics?

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 popular job titles related to Computer Science Statistics jobs in Los Angeles, CA?

For Computer Science Statistics jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in Los Angeles, CA look for?

The top searched job categories for Computer Science Statistics jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Computer Science Statistics jobs?

Cities near Los Angeles, CA with the most Computer Science Statistics job openings:

Infographic showing various Computer Science Statistics job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.

$56K/yr

Full-time, Part-time

Re-posted 5 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT A bachelor's degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in one of the following:
a) Class standing-upper third of the graduating class based on completed courses in the college, university, or major subdivision.
b) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
c) Election to membership in a national scholastic honor society (note: freshman honor society cannot be used to meet the requirements of this position). (Submit a copy of your transcript, a degree audit will not be accepted) If qualifying based on class standing or honor society membership, provide appropriate documentation.
OR
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional operations research knowledge to apply scientific methods and techniques to analyze systems, process and/or operational problems and procedures.
2. Ability to analyze, interpret and apply operations research rules and procedures in a variety of situations and recommend effective solutions to senior analysts.
3. Ability to perform extensive inquiry into basic data to discover facts or fundamental relationships.
4. Ability to communicate effectively, both orally and in writing.
5. Knowledge of computer operations and standard software applications
.PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education:This position has an education requirement. You MUST provide transcripts to support your educational claims. Education must be accredited by an accrediting institution recognized by the U.S. Department of Education. http://www2.ed.gov/admins/finaid/accred/index.html
Please submit copies of all Transcripts to include Transferred hours - Official copies are not required at time of application. If selected, you will be required to provide official copies of all Transcripts. ***NOTE***Degree Audits are not accepted.
If you qualify based on undergraduate education and you have not graduated prior to applying to this position. You may be offered a position contingent upon your final grade point average or class ranking.
IF USING EDUCATION TO QUALIFY: You MUST provide transcripts to support your educational claims. Education must be accredited by an accrediting institution recognized by the U.S. Department of Education.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER