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Research Python Jobs in Long Beach, CA (NOW HIRING)

Socket.dev

Research Engineer

Los Angeles, CA · On-site

$147 - $211/hr

... Research Engineering- related occupation. * Position requires experience in the following ... Python or C++; Algorithm design for machine learning applications; Statistical analysis for machine ...

WorldQuant

Senior Python Software Engineer

Los Angeles, CA · On-site

$130K - $176K/yr

We seek to produce high-quality predictive signals (alphas) through our proprietary research ... A minimum of 7 years of writing production-quality code in Python on Linux platform * Candidate ...

Tecolote Research

AI Developer

El Segundo, CA · On-site

... research or experimentation. Responsibilities The ideal candidate is a strong full-stack software developer with professional experience in Python back-end development and Angular front-end ...

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Research Python information

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$13

$61

$90

How much do research python jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for research python in Long Beach, CA is $61.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.00 per hour, depending on experience, location, and employer.

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

What are popular job titles related to Research Python jobs in Long Beach, CA?

For Research Python jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Long Beach, CA look for?

The top searched job categories for Research Python jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Research Python jobs?

Cities near Long Beach, CA with the most Research Python job openings:

Research Python jobs near you

Research Engineer

Socket.dev

Los Angeles, CA • On-site

$147 - $211/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

MINIMUM QUALIFICATIONS
  • PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field.
  • Alternatively, we will accept a Master\'s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Research Engineering- related occupation.
  • Position requires experience in the following: Python or C++; Algorithm design for machine learning applications; Statistical analysis for machine learning; Software engineering for large-scale ML projects; and Designing controlled experimental designing for machine learning analysis.
ABOUT THE JOB

The US base salary range for this full-time position is $147,000 - $211,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google https://www.google.com/about/careers/applications/benefits/.

Position reports to the Google Venice, CA office & may allow for a hybrid schedule per Google policy.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

RESPONSIBILITIES
  • Apply advanced machine learning models and research to solve high-impact, real-world problems through rapid prototyping and experimental design.
  • Develop high-quality, scalable code in Python or C++ by translating complex research concepts into robust algorithms and software libraries.
  • Train, evaluate, and iteratively improve the performance of machine learning models and agents throughout the entire research and development cycle.
  • Plan and execute multi-week projects, independently solving technical challenges and ensuring your work aligns with broader team goals.
  • Collaborate closely with research scientists and engineers, clearly communicating project plans, developments, and experimental results to diverse audiences. Provide software design expertise to research projects, writing effective design documents and contributing to the enhancement of team tools and processes.
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