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Scipy Jobs (NOW HIRING)

Programmers.io

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

... Numpy, Pandas, SciPy • Excellent expertise in Tensor Flow, PyTorch • Experience in distributed systems specially Kafka and its eco systems like Gateways, Publisher, Consumer. • Good ...

Mastech Digital

Python Engineer

Redmond, WA · On-site

$75 - $80/hr

Preferred Skills: - Familiarity with the Scientific Python stack (e.g., SciPy). - Working knowledge of PyTorch (even though the role is not ML-heavy). Team Culture: - Strong emphasis on collaboration ...

Compunnel

RAKOF 415 PYTHON DEVELOPER

Princeton, NJ · On-site

$52.75 - $72.50/hr

Understand the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Involved front-end development using ...

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Scipy information

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How much do scipy jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for scipy in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

How does a role focused on SciPy typically collaborate with other technical teams in a research or engineering environment?

Professionals working with SciPy often collaborate closely with data scientists, software engineers, and researchers to develop, optimize, and implement scientific computing solutions. They may participate in cross-functional meetings to align on project goals, share code through version control systems, and perform peer reviews to ensure code quality. Open communication and documentation are critical, as SciPy-based workflows frequently integrate with larger data analysis pipelines or machine learning projects. This collaborative environment helps ensure robust, scalable solutions and provides opportunities for ongoing learning from interdisciplinary team members.

What is SciPy and what is it used for?

SciPy is an open-source Python library that is used for scientific and technical computing. It builds on the NumPy library and provides a wide range of modules for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, and many other mathematical tasks. Scientists, engineers, and data analysts commonly use SciPy for data analysis, modeling, and performing complex mathematical computations efficiently. Its extensive documentation and active community make it a popular choice for both research and industry applications.

What are the key skills and qualifications needed to thrive as a SciPy Developer, and why are they important?

To thrive as a SciPy Developer, you need a strong background in Python programming, numerical computing, and a solid understanding of mathematics or scientific domains relevant to your projects. Familiarity with the SciPy library, NumPy, version control systems like Git, and experience with scientific computing environments are typically required. Analytical thinking, problem-solving skills, and effective communication enable developers to work collaboratively and tackle complex scientific problems. These skills ensure the efficient development of robust, reliable scientific software solutions that support research and data analysis needs.

What is the difference between Scipy vs Data Scientist?

AspectScipyData Scientist
Required credentialsTypically requires knowledge of Python, mathematics, and programming skillsRequires degrees in data science, statistics, or related fields; often includes programming and analytical skills
Work environmentUsed mainly in data analysis, scientific computing, and research environmentsWorks across industries, including tech, finance, healthcare, often in collaborative teams
Industry usagePrimarily in scientific research, engineering, and academiaIn business, tech, and analytics sectors for data-driven decision making

While Scipy is a Python library for scientific computing, a Data Scientist applies such tools along with statistical and machine learning techniques to analyze data and generate insights. Scipy is a technical tool, whereas Data Scientist is a role that leverages tools like Scipy to solve real-world problems.

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What job categories do people searching Scipy jobs look for? The top searched job categories for Scipy jobs are:
Scipy jobs near you
Infographic showing various Scipy job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Python + ML

Python + ML

Programmers.io

Sunnyvale, CA • On-site

$59 - $81.25/hr

Full-time

Posted yesterday

Job description

Job Description

• 10+ years overall software development experience with at least 3+ years of experience in large scale data platforms.

• Excellent expertise in Object oriented programming Python and API’s.

• Excellent expertise in AI/ML Technologies 

• Excellent expertise in Numpy, Pandas, SciPy 

• Excellent expertise in Tensor Flow, PyTorch

• Experience in distributed systems specially Kafka and its eco systems like Gateways, Publisher, Consumer.

• Good understanding of AWS Cloud ( S3 , RDS, IAM, Docker, Kubernetes).

• Good experience of deployment tools like terraform.

• Understanding of version control like Git and CI/CD workflow.

• Understanding of version control like Git and CI/CD workflow.

• Very good in debugging and trouble shooting.

• Good Communication and excellent collaboration skills to interact with internal customers for collecting requirements.

• Ask the right questions to define scope and requirements.