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Python Scikit Numpy Pandas Jobs (NOW HIRING)

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

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 ...

Snowrelic Inc

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). * Collaborate with cross ...

Mindrift

Machine Learning Developer (Freelance)

$90/hr

Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn) * Document problem statements clearly and provide verified correct answers What we look for This opportunity ...

Palnar

Python Developer

$51.50 - $71/hr

NumPy, Pandas, Django/Flask required. * Data analysis and development work. * Someone with CI/CD ... using python. * It's a new application development work and some old application support.

SRP Systems Inc

Senior Python Developer

Princeton, NJ

$127K - $171K/yr

Qualifications 2+ years of experience in Python, Numpy, Pandas Several years of experience in software development and IT SQL and database design experience Additional Information All your ...

SRP Systems Inc

Senior Python Developer

Princeton, NJ · On-site

$127K - $171K/yr

Qualifications 2+ years of experience in Python, Numpy, Pandas Several years of experience in software development and IT SQL and database design experience Additional Information All your ...

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How much do python scikit numpy pandas jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for python scikit numpy pandas in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are Python, Scikit-learn, NumPy, and Pandas?

Python is a popular programming language widely used for data analysis and scientific computing. NumPy is a fundamental package for numerical computations in Python, providing support for arrays and mathematical functions. Pandas is a library built on top of NumPy that offers powerful data structures for data manipulation and analysis. Scikit-learn is a machine learning library for Python that provides simple and efficient tools for data mining and data analysis. Together, these tools are commonly used in data science, machine learning, and research applications.

What is the difference between Python Scikit Numpy Pandas vs Data Analyst?

AspectPython Scikit Numpy PandasData Analyst
Primary FocusData manipulation, analysis, and machine learningData interpretation, reporting, and visualization
Skills & ToolsPython, libraries (Scikit-learn, Numpy, Pandas)Excel, SQL, Tableau, Python (optional)
Work EnvironmentData science teams, programming-heavy rolesBusiness units, reporting teams
Common UsageBuilding models, data preprocessingGenerating insights, dashboards

Python Scikit Numpy Pandas are core tools for data manipulation and machine learning, often used by data scientists. Data Analysts focus on interpreting data, creating reports, and visualizations, sometimes using Python but primarily relying on Excel and SQL. While both roles work with data, Python Scikit Numpy Pandas professionals typically handle more technical, model-building tasks, whereas Data Analysts focus on business insights and presentation.

How do professionals using Python with Scikit-learn, NumPy, and Pandas typically collaborate with data scientists and other team members?

Professionals working with Python, Scikit-learn, NumPy, and Pandas often work closely with data scientists, machine learning engineers, and business analysts. Collaboration usually involves sharing data preprocessing pipelines, developing and validating machine learning models, and interpreting data-driven results. Communication is key, as team members must align on project goals, data requirements, and deliverables. Tools like Jupyter notebooks, version control (e.g., Git), and regular team meetings help ensure smooth workflows and transparency across different stages of a project.

Which Python job has the highest salary?

Senior data scientist roles involving Python, especially those utilizing libraries like scikit-learn, NumPy, and Pandas, tend to have the highest salaries in the Python job market. These positions often require advanced skills, experience, and sometimes domain-specific knowledge, leading to higher compensation compared to entry-level or junior roles.

What are the key skills and qualifications needed to thrive as a Python developer specializing in Scikit-learn, NumPy, and Pandas, and why are they important?

To excel as a Python developer with expertise in Scikit-learn, NumPy, and Pandas, a solid background in Python programming, data analysis, and machine learning concepts is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with integrated development environments (IDEs) like Jupyter Notebook, version control systems such as Git, and proficiency in using the Scikit-learn, NumPy, and Pandas libraries is typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills distinguish high performers in this role. These skills and qualifications enable efficient data manipulation, robust model development, and clear collaboration with technical and non-technical stakeholders.
Infographic showing various Python Scikit Numpy Pandas job openings in the United States as of June 2026, with employment types broken down into 39% Full Time, 3% Part Time, and 58% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Automation Developer (Onsite)

VeridianTech

Seattle, WA • On-site

$57.25 - $78.75/hr

Other

Posted 11 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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