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Computer Science Statistics Jobs in Los Angeles, CA

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques ...

YO AI Labs

Data Scientist

Glendale, CA

Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field + 7 years of experience with an emphasis on experimentation or causal inference. * Strong ...

YO AI Labs

Data Scientist

Glendale, CA

Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field + 7 years of experience with an emphasis on experimentation or causal inference. * Strong ...

Apple

Video Content Data Scientist

Culver City, CA · On-site

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

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · On-site +1

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience) * 3+ years of product analytics experience (optional: in a product ...

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · Remote

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience) * 3+ years of product analytics experience (optional: in a product ...

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · Remote

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience) * 3+ years of product analytics experience (optional: in a product ...

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · Remote

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience) * 3+ years of product analytics experience (optional: in a product ...

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · Remote

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience) * 3+ years of product analytics experience (optional: in a product ...

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · Remote

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience) * 3+ years of product analytics experience (optional: in a product ...

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All JobsComputer Science Statistics JobsComputer Science Statistics Jobs in Los Angeles, CA

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 15, 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:

Computer Science Statistics jobs near you
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.

Data Scientist

BeeGenius

Los Angeles, CA • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
BeeGenius is building the future of work, today. They are looking for a talented Data Scientist to analyze large datasets, develop predictive models, and extract insights to drive data-informed decision-making.
Responsibilities:
• Identify, clean, and preprocess large datasets for analysis
• Develop and implement machine learning algorithms and models
• Analyze and interpret complex data to extract actionable insights
• Collaborate with cross-functional teams to define data requirements
• Present findings and recommendations to stakeholders in a clear and concise manner
• Stay updated with the latest advancements in data science and machine learning
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Statistics, or a related field
• Proficiency in programming languages such as Python or R
• Experience with machine learning algorithms and statistical modeling techniques
• Strong knowledge of data visualization tools and techniques
• Excellent communication and presentation skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.

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