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

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... Experience developing algorithms for search engines (e.g., name entity recognition, intent ...

Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modeling approaches to support product, engineering and marketing ...

As a Senior Data Scientist, you own modeling for a clinical or product domain, drive problem ... Algorithm development, analysis & reporting. Create, test, and improve complex algorithms, NLP, and ...

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

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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 Sep 15, 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.

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.

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 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 job categories do people searching Algorithm Scientist jobs in Long Beach, CA look for?

The top searched job categories for Algorithm Scientist jobs in Long Beach, CA 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:

Infographic showing various Algorithm Scientist job openings in Long Beach, CA as of September 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.

Systems Engineer, Algorithm Development

El Segundo, CA • On-site

$110K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today's realities. Designed and built by top U.S. military veterans and Silicon Valley innovators, CHAOS Industries' products are powered by Coherent Distributed Networks (CDN), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. In a world where technological threats move at unprecedented speed, CHAOS Industries delivers advanced sensing and detection solutions that give the ultimate advantage: time.   

CHAOS Industries was founded in 2022 and has raised $1B in total funding from leading investors including 8VC, Accel, and NEA. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, Seattle, and London. For more information, please visit www.chaosinc.com. 

Role Overview:

  • Support the Systems Engineering design and development of cutting-edge radar capabilities

Responsibilities:

  • Design and develop advanced radar signal processing algorithms for target detection, tracking, and classification
  • Lead the development of new radar capabilities with minimal guidance
  • Optimize algorithms for real-time performance and resource constraints
  • Implement algorithms in software (e.g., C++, Python, MATLAB) and/or hardware (e.g., FPGAs, DSPs)
  • Analyze radar data to evaluate system performance and identify areas for improvement
  • Develop and maintain system simulations and models to support algorithm development and performance evaluation.
  • Design and development of radar modes
  • Contribute to the development of system requirements and specifications
  • Modeling and Simulation of radar systems and sub-systems as well as the signal processing chain
  • Plan and lead field tests and data collection activities
  • Document and present technical findings and progress to leadership
  • Mentor and guide junior engineers
  • Work full-time onsite at our office in Hawthorne, CA

Minimum qualifications:

  • Bachelor's degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
  • 3+ years of experience of radar systems
  • Deep understanding of radar systems and modes
  • Strong understanding of radar principles, signal processing techniques, and algorithms
  • Strong familiarity with programming languages like Python or MATLAB
  • Systems Engineering experience with RF (Radio Frequency) Systems
  • Expertise in digital signal processing (e.g. modulation, filtering, and detection)
  • Expertise in algorithm development
  • Expertise in data analysis
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a multidisciplinary team

Preferred qualifications:

  • Graduate degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
  • Expertise with radar waveform design, matched filtering, doppler processing, and clutter rejection techniques
  • Strong foundation in both sides of the Systems Engineering V
  • Experience with C++

Why CHAOS?

  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 200 employees and counting across 5 global offices
Salary range: $110,000 - $240,000

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.

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