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Research Python Jobs in California (NOW HIRING)

Hudson River Trading

Research Engineer

London, CA

Research Engineers at HRT work on a wide variety of projects. Examples include: * Designing highly ... Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit ...

Google

Research Engineer

Mountain View, CA · On-site

... in a Research Engineer-related occupation * Position requires 2 years of experience in the ... Python or C ; TensorFlow or JAX; Software engineering for large-scale ML projects About the job The ...

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Research Python information

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 Python jobs are in demand?

Python development roles such as software engineer, data analyst, data scientist, machine learning engineer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis tools, and proficiency in libraries such as Pandas and TensorFlow.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency, but human oversight remains essential for quality and innovation.

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.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for research roles in 2026 due to its versatility, extensive libraries, and widespread use in data analysis, machine learning, and automation. Proficiency in Python, along with knowledge of frameworks like Pandas or TensorFlow, continues to be valuable for research positions across various industries.

Which pays more, C++ or Python?

For a Research Python role, Python developers generally have a lower median salary compared to C++ developers, especially in fields like software engineering and systems programming. C++ skills are often associated with higher-paying positions due to its use in performance-critical applications, but salary can vary based on experience, industry, and location. Both languages are valuable, and salary differences depend on the specific job requirements and market demand.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

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 are popular job titles related to Research Python jobs in California? For Research Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in California look for? The top searched job categories for Research Python jobs in California are:
What cities in California are hiring for Research Python jobs? Cities in California with the most Research Python job openings:
Research Python jobs near you

DSP Research Scientist

Cooperidge Consulting Firm

Monterey, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Cooperidge Consulting Firm is seeking a DSP Research Scientist for a nationally recognized leader in Advanced Signal Processing in Monterey, CA.

This role is designed for a high-level academic and technical practitioner dedicated to solving the most demanding signal processing problems in national security. You will serve as a Principal Investigator or lead technical collaborator, researching and implementing algorithms that extract intelligence from highly degraded RF environments-characterized by low SNR, heavy interference, and non-stationary conditions. This position offers the opportunity to translate complex customer goals into "mission-critical" software solutions using C/C++ and Python.
Job Responsibilities

  • Algorithm Innovation: Research, design, and implement advanced signal processing algorithms for RF-based applications, specifically focusing on detection and estimation theory.
  • Principal Investigation: Operate independently as a Principal Investigator (PI) or lead small, agile technical teams to solve high-complexity signal challenges.
  • Signal Analysis: Perform deep-dive RF signal analysis, reverse engineering, simulation, and wireless propagation modeling.
  • HPC Integration: Support the seamless transition of scientific algorithms into real-time, high-performance computing (HPC) environments.
  • Technical Communication: Translate sophisticated technical concepts and research findings into clear, actionable specifications for end-users and senior stakeholders.
  • Project Stewardship: Manage customer expectations, provide regular performance assessments, and ensure project milestones align with national security objectives.

Requirements

Education & Security (Mandatory)
  • M.S. in Electrical Engineering, Computer Engineering, or Applied Physics is REQUIRED (Ph.D. highly preferred).
  • ACTIVE Top Secret / SSBI Clearance is REQUIRED.
  • U.S. Citizenship is REQUIRED.
Core Experience
  • Minimum of 2 years of relevant experience (5+ years is highly preferred).
  • Expert proficiency in C/C++ and Python for scientific and numerical computing.
  • Deep technical background in at least one: Radar Processing, Adaptive Antenna Arrays, Navigation/Geolocation, or Digital Communications.
  • Mastery of Linux environments and open-source development toolchains.
Preferred Skills
  • Experience with Software Defined Radio (SDR) and RF/baseband architecture.
  • Knowledge of modern protocols such as LTE, WCDMA, 802.11, and 802.16.
  • Strong understanding of numerical linear algebra.

Benefits

  • Comprehensive health, vision, and dental insurance plans
  • Life insurance coverage
  • 401(k) retirement plan with company matching contributions
  • Paid time off including vacation, sick leave, and holidays
  • Opportunities for career growth and advancement

Apply