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Research Python Jobs in Seattle, WA (NOW HIRING)

Amazon

Research Scientist III - AMZ9443129

Seattle, WA · On-site

$159K - $215K/yr

Research Scientist III Job Location: Seattle, Washington Job Number: AMZ9443129 Position ... Python, SQL, Java, C++ or Scala; (3) performing quantitative, economic, and numerical analysis of ...

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Strong programming skills in 1 or more programming languages (including Python). 2 years or more of ...

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Strong programming skills in 1 or more programming languages (including Python). 2 years or more of ...

Microsoft

Senior Research Software Engineer

Redmond, WA · On-site

$229K/yr

Overview Microsoft Research (MSR) is a multidisciplinary global organization working to create ... limited to, Python, Rust, C#, C++, Java, JavaScript OR equivalent experience. Preferred ...

Prime Team Partners

ML Research Scientist

Seattle, WA · On-site

$190/hr

Strong Python or C++ skills and deep experience with PyTorch, TensorFlow, or JAX * Ability to work across research and engineering in a fastmoving environment Bonus Skills * Research in model ...

Infotech Sourcing

Research Scientist III

Kirkland, WA · On-site

Research Scientist III Location: Redmond WA Onsite Duration: 12 months with possible extension ... using Python, LabVIEW, C, or similar languages. 2+ years experience in at least one of the ...

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How much do research python jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for research python in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Research Python jobs in Seattle, WA? For Research Python jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Seattle, WA look for? The top searched job categories for Research Python jobs in Seattle, WA are:
Research Python jobs near you

Python Automation Developer (Onsite)

VeridianTech

Seattle, WA

$57.25 - $78.75/hr

Other

Posted 6 days ago

Job description

Hi,
Job Title: - Python Automation Developer
Location: - Renton, WA / Everett, WA
Full-time/permanent
Job Description
Must Have Technical/Functional Skills
Technical Skills:
1. Core python skills covering: Variables and Data Types; Data Structures; Control Flow and Loops; Functions;
2. Input/Output (I/O) and File Handling; Exception Handling; Modules and Packages etc.
3. Libraries: Python Libraries such as NumPy; Pandas; Scikit-learn; TensorFlow and PyTorch;
4. Framework: Django ; Flask; FastAPI
5. Web Scraping and HTTP: Beautiful Soup; Scrapy
Must Have:
3-4 Years of Experience in developing Automations using Python language
Core python skills covering: Variables and Data Types; Data Structures; Control Flow and Loops; Functions;
Input/Output (I/O) and File Handling; Exception Handling; Modules and Packages etc.
Libraries: Python Libraries such as NumPy; Pandas; Scikit-learn; TensorFlow and PyTorch;
Framework: Django ; Flask; FastAPI
Web Scraping and HTTP: Beautiful Soup; Scrapy
Good to have:
- Background in operations research/optimization (e.g., scheduling, VM allocation).
- Experience with AWS cloud platforms.
- Security best practices: vulnerability scanning.
- knowledge on automation tools like RPA Blue Prism or RPA Power Automate.
Thanks

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