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Algorithm Scientist Jobs in Long Beach, CA (NOW HIRING)

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Algorithm Scientist information

See Long Beach, CA salary details

$53.1K

$117.1K

$144.6K

How much do algorithm scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for algorithm scientist in Long Beach, CA is $117,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $144,100.00 per year, depending on experience, location, and employer.

How does an algorithm scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What is an algorithm scientist?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an algorithm scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What are popular job titles related to Algorithm Scientist jobs in Long Beach, CA? For Algorithm Scientist jobs in Long Beach, CA, the most frequently searched job titles are:
What cities near Long Beach, CA are hiring for Algorithm Scientist jobs? Cities near Long Beach, CA with the most Algorithm Scientist job openings:
Algorithm Scientist jobs near you
Infographic showing various Algorithm Scientist job openings in Long Beach, CA as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $117,074 per year, or $56.3 per hour.

Machine Learning User Research Scientist (Ph.D. required)

Exponent

Los Angeles, CA • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Exponent is a premium engineering and scientific consulting firm dedicated to solving unique challenges for clients. They are seeking a Ph.D. level Machine Learning User Research Scientist to contribute to global data collection efforts and optimize programs for the consumer electronics industry.
Responsibilities:
• Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms including protocol development, data collection, data management, and analysis
• Providing operational support for prototype hardware and software systems including system validation and troubleshooting
• Actively solving technical and logistical problems in a fast-paced environment
• Creating and leading ad hoc interdisciplinary teams comprised of consultants from Data Sciences, Human Factors, Health Sciences, and Engineering Sciences
• Developing data analysis and visualization tools related to project management, demographics, and human-centered data
• Developing and maintaining client relationships
Qualifications:
Required:
• Ph.D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors, or a related engineering/scientific field (such as Applied Mathematics, Computer Science, Cognitive Science, Applied Physics, Industrial Engineering, Mechanical Engineering, Civil Engineering, or Robotics)
• Ability to take an ambiguous question, use data to draw insights, and convey the results to a wide range of audiences
• Demonstrated experience and expertise in one or more of the following areas: Advanced sensing technology, Networking data analysis and visualization, Designing and executing user research studies with human subjects, using appropriate quantitative and qualitative methods to produce strategic and actionable insights that inform design and development, Experience in programming or scripting languages like Python, Shell, Java, Perl, MATLAB, Experience in instrumentation, data acquisition, and /or data processing, Operations optimization, Machine learning data set design or optimization, Dynamic system modeling and control
• Experience with human subjects research or direct collection of large experimental data sets to support the development of machine learning or artificial intelligence algorithms
• The desire to work with a diverse set of clients and engage in work outside of the traditional data science field
• Strong practical engineering ability combined with leadership and project management skills
• Excellent verbal and written communication skills
• Ability to work independently and in multidisciplinary teams
• Ability to travel to a variety of global locations to support project work (up to 40% travel)
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required
Company:
With over 90 scientific and engineering disciplines, Exponent’s staff of approximately 900, located in 20 offices throughout the USA Founded in 1967, the company is headquartered in Menlo Park, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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