1

Scipy Jobs (NOW HIRING)

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

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 ...

One or more of Numpy, Scipy, Scikit etc) Experience with Python GUI programming ( Ex. One or more of PyQT, TkInter etc) Additional Information Should have worked as Field Designing, Python ,, Mobile ...

One or more of Numpy, Scipy, Scikit etc) Experience with Python GUI programming ( Ex. One or more of PyQT, TkInter etc) Additional Information Should have worked as Field Designing, Python ,, Mobile ...

Python Developer

Charlotte, NC ยท On-site

$49 - $67.75/hr

Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). * Collaborate with cross ...

Python Developer

Houston, TX ยท On-site

$48 - $66.25/hr

Must have experience in using various Python libraries such as Pandas, NumPy, Scipy, PyBrain, etc. * Any experience with MATLAB and COMSOL would be a plus * Candidate must have 2+ year of hands on ...

Python Developer

Houston, TX ยท On-site

$48 - $66.25/hr

Must have experience in using various Python libraries such as Pandas, NumPy, Scipy, PyBrain, etc. * Any experience with MATLAB and COMSOL would be a plus * Candidate must have 2+ year of hands on ...

next page

Showing results 1-20

Scipy information

See salary details

$8

$26

$61

How much do scipy jobs pay per hour?

As of Jul 20, 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 July 2026, with employment types broken down into 96% Full Time, 1% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% 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

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

Captivation Software

Annapolis Junction, MD โ€ข On-site

$125K - $151K/yr

Other

Posted 13 days ago


Job description

Description

Captivation Software is looking for a mid level software engineer who will performing as a Cloud-Based Analytics Developer to join our team. As part of our organization, you will be responsible for developing and maintaining high-performance analytic solutions that process heavy volumes of data. This is an excellent opportunity for someone experienced in data analytics writing, and a passion for big data and distributed computing.
ย 

Requirements
Security Clearance:
  • 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
Minimum Qualifications:
  • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required
  • Bachelor's degree in Computer Science or related discipline from an accredited college or university is required
  • Four (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Required Skills:
  • Spark
  • MapReduce
  • SQL/NoSQL
  • Pandas/Numpy/SciPy

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.