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Python Scikit Numpy Pandas Jobs (NOW HIRING)

Mindrift

Freelance Machine Learning Engineer

$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 ...

PETADATA

Senior Python Developer

Rollingwood, TX

$117K - $158K/yr

Python (NumPy, Pandas, SciPy) * SQL for data analysis and querying * Linux/Unix environments * Shell scripting for automation * Proven experience in designing and implementing computationally ...

Programmers.io

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

... Python and API's. • Excellent expertise in AI/ML Technologies • Excellent expertise ... in Numpy, Pandas, SciPy • Excellent expertise in Tensor Flow, PyTorch • Experience in ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). * Knowledge of machine learning techniques (i.e. classification, regression, and clustering). * Understand machine learning ...

Point72

Quantitative Software Developer

New York, NY · On-site

Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals * Experience contributing to core Python numerical ...

Sarian, Inc.

Python Developer

Pittsburgh, PA · On-site

$48.75 - $67.25/hr

Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks. * Implementing test-driven development and automated testing. * Troubleshooting and ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). * Knowledge of machine learning techniques (i.e. classification, regression, and clustering). * Understand machine learning ...

Point72

Quantitative Software Developer

New York, NY · On-site

Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals * Experience contributing to core Python numerical ...

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Python Scikit Numpy Pandas information

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

As of Jun 10, 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.

Computer Science Expert with Python Experience - AI Projects on Mindrift

Mindrift

New York, NY

$80/hr

Part-time

Posted 10 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design rigorous Computer Science problems reflecting professional practice; 
  • Evaluate AI solutions for correctness, assumptions, and constraints; 
  • Validate calculations or simulations using Python (NumPy, Pandas, SciPy); 
  • Improve AI reasoning to align with industry-standard logic; 
  • Apply structured scoring criteria to multi-step problems;
  • Collaborate with a global community of PhDs to ensure the highest scientific integrity.

What we look for

This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

  • Degree in Computer Science or related fields. 
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. 
  • 2+ years of professional experience: applied, research, or teaching experience is applicable. 
  • Strong written English (C1+) .
  • Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $80 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply