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Python Scikit Numpy Pandas Jobs (NOW HIRING)

VDart

AI/ML Lead Engineer

Chester, PA

$98K - $130K/yr

... Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow). • Develop LLM-powered applications using frameworks such as OpenAI, LangChain, Hugging Face, or LlamaIndex. • Design and manage data ...

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

... Core Python Fundamentals: OOPs concepts, Functions & Modules, Iterators / Generators, Exception ... NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • ...

SRP Systems Inc

Python/Django developer

Princeton, NJ · On-site

We are looking for a Senior Python/Django developer to start working with us immediately ... Good understanding of Numpy and Pandas * Any experience with Scikit learn is a huge plus, but is ...

Reflexive Concepts

Software Engineer II

Linthicum, MD · On-site

$96K - $131K/yr

Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but not limited to, PyTorch, NumPy, Pandas, and Scikit-learn * Train, test, track and curate models ...

Sarian, Inc.

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

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

Reflexive Concepts

Software Engineer II

Linthicum, MD

$96K - $131K/yr

Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but not limited to, PyTorch, NumPy, Pandas, and Scikit-learn * Train, test, track and curate models ...

SRP Systems Inc

Python/Django developer

Princeton, NJ · On-site

We are looking for a Senior Python/Django developer to start working with us immediately ... Good understanding of Numpy and Pandas * Any experience with Scikit learn is a huge plus, but is ...

(unknown company)

Data Scientist

Orlando, FL

... Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus.

(unknown company)

Data Scientist

Orlando, FL · On-site +1

... Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus.

Intuit

Staff Machine Learning Engineer

Mountain View, CA

$197K - $266K/yr

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

Axelon

Software Engineer (Python)

Irving, TX · Hybrid

$67 - $71.50/hr

Proficiency in Python and related modules (e.g., numpy, pandas). * Proficiency utilizing LLMs. * Ability to work independently and collaboratively within a team. Preferred Skills * Experience in ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA

$197K - $266K/yr

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

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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.

AI/ML Lead Engineer

VDart

Chester, PA

$98K - $130K/yr

Other

Posted 23 days ago

Job description

Position: ML Engineer with python and AI
Location: Chester , PA -onsite
Duration: Contract
JD:
Role Overview
We are looking for an AI/ML Lead Engineer with strong Python, Machine Learning, and Data Engineering expertise to design and deploy scalable AI solutions. The role involves developing ML pipelines, building GenAI applications, and deploying models using cloud-based MLOps platforms. Experience in the Telecom BSS/OSS domain is preferred.
Key Responsibilities
• Develop and deploy Machine Learning and Generative AI solutions for enterprise applications.
• Build end-to-end ML pipelines including data ingestion, preprocessing, model training, evaluation, and deployment.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Develop LLM-powered applications using frameworks such as OpenAI, LangChain, Hugging Face, or LlamaIndex.
• Design and manage data pipelines using SQL, Pandas, Databricks, Data Lakes, and NoSQL databases.
• Implement MLOps workflows including model versioning, CI/CD pipelines, and containerization.
• Deploy and manage ML workloads on AWS SageMaker, Azure ML, or GCP AI Platform.
• Build REST APIs or backend services using frameworks like Flask or FastAPI to integrate AI models into applications.
• Collaborate with business stakeholders to develop AI solutions for Telecom BSS/OSS use cases.
Required Skills and experience-
• Strong expertise in Python and Machine Learning frameworks.
• Experience with data engineering pipelines and cloud-based ML deployments.
• Knowledge of MLOps practices including Git, Docker, and CI/CD pipelines.
• Working knowledge of backend development for AI services.
• Experience with Generative AI and LLM-based applications

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