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Computer Science Statistics Jobs in Los Angeles, CA

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required. (Masters in related field preferred) * 5+ years equivalent experience in ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 6+ years of experience in data science, with at least 2 years in a ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 6+ years of experience in data science, with at least 2 years in a ...

Data Scientist Supervisor

Alhambra, CA · On-site

$110 - $148/hr

Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 6+ years of experience in data science, with at least 2 years in a ...

Data Scientist

Hermosa Beach, CA · On-site

$95 - $130/hr

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience.3+ years in a professional data science role with proven track record of moving models ...

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience. * 3+ years in a professional data science role with proven track record of moving ...

Data Scientist

Manhattan Beach, CA · On-site

$95 - $130/hr

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience.* 3+ years in a professional data science role with proven track record of moving ...

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience. * 3+ years in a professional data science role with proven track record of moving ...

Data Scientist

Manhattan Beach, CA · On-site

$95 - $130/hr

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience. * 3+ years in a professional data science role with proven track record of moving ...

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience. * 3+ years in a professional data science role with proven track record of moving ...

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

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 Sep 5, 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.

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 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.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills for many computer science roles.

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% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.

Data Scientist IV

Panasonic

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Overview
Who We Are:
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, Wi-Fi, and now Bluetooth headphone connectivity!
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! With our company's history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry.
If you want to learn more about us, visit us at www.panasonic.aero. And for a full listing of open job opportunities go to https://careers.na.panasonic.com/avionics/jobs
The position:
Leads analysis of complex, high-impact business problems using data from internal and external sources to provide insight to decisions at the leadership level. Works directly with aviation and in-flight entertainment data to identify opportunities specific to that domain. Identifies and interprets trends and patterns in datasets to locate influences. Have strong predictive, statistical modeling skills. Constructs forecasts, recommendations, and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis based on business needs and required or available data elements. Provide consultation to users and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using system reporting tools. Sets direction for modeling approaches and mentors other data scientists on the team.
Responsibilities
What We're looking for:
  • Build, own, and defend predictive, classification, forecasting, and recommendation models using Python identifying emerging trends and business opportunities from customer, operational, and market data, while independently determining the modeling approach and technique for a given problem
  • Partner with Data Engineering on data infrastructure needs, translating modeling and analytics requirements into scalable data sources.
  • Sound knowledge in ETL and Data Warehouse concepts, experience with AWS cloud-based platforms.
  • Employ the established Data Governance model including people, process, and technology to sustain Data Quality for the data objects and implement the necessary operating mechanisms to ensure compliance.
  • Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
  • Programing Develops and/or uses algorithms and ML prescriptive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
  • Partner with business process experts and owners to build BI and leading indicators of operational benchmarks.
  • Mentor and guide the technical direction of junior data scientists, reviewing modeling approach and code to ensure rigor and consistency across the team
  • Partner with Data Engineering, Product, and Business stakeholders to help define what should be built, shaping the roadmap rather than just executing against it.

KNOWLEDGE/SKILL REQUIREMENTS
  • Strong hands-on Python and SQL skills for data science (pandas, scikit-learn, and similar).
  • Should be strong in AWS suite, experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML
  • Ability to deploy ML models to production environment.
  • Able to take ambiguous data and turn it into a clear business case, and present that case persuasively to both technical and non-technical audiences.
  • Solid grounding in statistics: hypothesis testing, regression, experimental design (A/B testing).
  • Exposure to GenAI/LLM concepts (RAG, vector databases, prompt engineering) is a plus.
  • Strong predictive, statistical modeling skills.
  • Strong ability to communicate both written and verbally to internal and external clients.
  • Ability to work independently with business users and cross functional leaders.
  • Ability to solve for higher ambiguity using data science.
  • Strong ability to create and deliver effective presentations to multiple audiences.
  • Advanced expertise using data analytic software such as R, Python, SQL.
  • Expert knowledge of Microsoft productivity tools: Excel, Word, and Visio and other software is necessary.
  • Ability to work in a collaborative environment and fast paced environment.
  • Knowledge of Extract Transform Load (ETL), Data Architecture preferred.
  • Ability to mentor junior data scientists and colleagues.

Qualifications
EDUCATION/EXPERIENCE REQUIREMENTS
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required. (Masters in related field preferred)
  • 5+ years equivalent experience in modeling, forecasting, data analytics.
  • 2+ years' experience with AWS (Amazon Web Services) or other cloud platforms.
  • Open-source AI experience preferred.
  • Data Science Certifications Preferred.
  • Certified in AWS Cloud Preferred.
  • Experience in aviation, transportation or IoT/telemetry data domain is a plus

OTHER REQUIREMENTS
May require travel up to 5% of the time to domestic and/or international locations.
The salary range of $142,000 to $238,000 is just one component of Panasonic's total package. The final offer amount may vary based on factors including but not limited to individual's knowledge, skills, experience, and location. In addition, this role may be eligible for discretionary bonuses and incentives. The minimum hourly wage for this role will be the greater of the posted range, or minimum.
Our Principles:
Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude
What we offer:
At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program.
  • We offer flexible-hybrid work opportunities.
  • Paid time off: Exempt Salaried employees receive unlimited PTO. This means that there is no fixed number, range, or limit to the amount of Personal and Vacation Days that may be taken for exempt employees. Non-exempt hourly employees accrue 14 vacation days per year + 7 sick days + 3 personal days. Accrual rate increases with tenure. All employees receive 11 company paid holidays per year plus a paid company-wide shut down in the U.S. between Christmas and New Year.
  • Insurance: Medical insurance offerings from Aetna and Kaiser (CA &HI). Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. Dental PPO and DMO options & Vision insurance through EyeMed or VSP.
  • 401K with 50% match on up to 8% contribution, full vested from day 1
  • Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.

Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation.
#LI-hybrid
REQ-155406