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Scipy Jobs (NOW HIRING)

Apex Informatics

Data Scientist

Irving, TX ยท On-site

Proficiency in training and deploying data models Proficiency in Python and experience with relevant libraries such as Pandas, NumPy, SciPy, and Scikit-learn. Experience with Azure AutoML Experience ...

TransUnion

Managers

SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees. Job Requirements

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How much do scipy jobs pay per hour?

As of Jun 8, 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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Scipy jobs near you
Infographic showing various Scipy job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 81% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.