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Scipy Jobs (NOW HIRING)

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 ...

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Scipy information

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How much do scipy jobs pay per hour?

As of Jun 7, 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.

More about Scipy jobs
What cities are hiring for Scipy jobs? Cities with the most Scipy job openings:
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.

Software Engineer 2 - Spark/MapReduce/SQL/NoSQL/Pandas/Numpy/SciPy

Captivation

Annapolis Junction, MD โ€ข On-site

$117K - $140K/yr

Full-time

Posted yesterday


Job description

Job Summary:
Captivation has built a reputation on providing customers exactly what is needed in a timely manner. They are seeking a mid level software engineer to develop and maintain high-performance analytic solutions that process heavy volumes of data, focusing on big data and distributed computing.
Responsibilities:
โ€ข developing and maintaining high-performance analytic solutions that process heavy volumes of data
Qualifications:
Required:
โ€ข Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen
โ€ข Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required
โ€ข Bachelorโ€™s degree in Computer Science or related discipline from an accredited college or university is required
โ€ข Four (4) years of SWE experience on projects with similar software processes may be substituted for a bachelorโ€™s degree.
โ€ข Spark
โ€ข MapReduce
โ€ข SQL/NoSQL
โ€ข Pandas/Numpy/SciPy
Company:
Build something to be proud of. Captivation is focused on engineering digital solutions for mission makers. Founded in 2014, the company is headquartered in Baltimore, USA, with a team of 11-50 employees. The company is currently Early Stage.