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Research Python Jobs in California (NOW HIRING)

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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 ...

Skild AI

Research Engineer

San Francisco, CA

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation ...

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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.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong support for data analysis, machine learning, and scientific computing. It is widely adopted in academia and industry for research projects, often complemented by tools like Jupyter notebooks and frameworks such as NumPy and pandas.

What Python jobs are in demand?

Python development roles such as data scientist, machine learning engineer, backend developer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis libraries, and proficiency in cloud platforms. Demand is driven by industries including technology, finance, healthcare, and e-commerce, with many roles requiring strong problem-solving skills and experience with version control tools like Git.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications and tools, 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 and handling repetitive tasks, 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.

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.

Is Python still in demand in 2026?

Python remains a highly in-demand skill for research roles, including those involving data analysis, machine learning, and automation. Its versatility, extensive libraries, and widespread use in industry and academia ensure continued demand for professionals proficient in Python in 2026.
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
Sr. Python Developer - San Ramon, CA (Onsite) - Locals Only - F2F Interview

Sr. Python Developer - San Ramon, CA (Onsite) - Locals Only - F2F Interview

ERPMARK INC

San Ramon, CA • On-site

$135K - $182K/yr

Contractor

Posted 3 days ago

Job description

Job Title : Sr. Python Developer

Location : San Ramon, CA (Onsite) - Locals Only  - F2F Interview

Experience: 12+ Years

Job Description:

Primary Skills:

  • Strong proficiency in Python for scripting and automation
  • Solid experience with SQL and PL/SQL
  • Hands-on experience with Snowflake (data warehousing)
  • Strong data analysis and debugging skills

Secondary Skills:

  • AWS ecosystem, especially AWS Glue
  • Control-M for job scheduling
  • Experience with ETL tools like Informatica
  • Familiarity with Jira, Confluence, and Agile methodologies
  • Exposure to Microsoft Power Platform (Power BI, Power Automate) – nice to have

Soft Skills:

  • Ability to work independently with minimal supervision
  • Strong communication and interpersonal skills
  • Experience leading and facilitating meetings with stakeholders
  • Collaborative mindset and ability to work across teams
  • Initiative to conduct R&D / POCs

Nice-to-Have / Bonus Skills:

  • Exposure to CRM data and related concepts
  • Understanding of data modeling and database design
Regards
Kevin Raj
ERPMARK logo

About ERPMARK

Sourced by ZipRecruiter

Why Choose ERPMark PEOPLE We deliver the best available people to your most challenging IT positions when you need them. PROCESS Our rigorous processes enable us to not only bring the best available people to your business, but also deep experience in product development, CRM services, big data analytics and software testing. PERFORMANCE We will let our many Fortune 500 clients speak to our performance. We would not be working with so many great companies if we did not deliver what we promise.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Princeton, NJ, US

Year founded

2014

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