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Scipy Jobs (NOW HIRING)

Samprasoft

Python Analytics Cloud Developer

Reston, VA · On-site

$52.25 - $72/hr

CI/CD Tooling API Calls Strong SQL Exp Python development - from Analytics Standpoint - Pandas/Numpy/Scipy/etc. Containers exp - Docker / Kubernetes Analytics Tools - SageMaker/Domino/etc.

Omni Inclusive

Python Analyst

Albany, NY · On-site

Job Title Strong proficiency in Python programming language and related libraries such as NumPy, Pandas, and SciPy. Experience with data analysis and statistical methods. Familiarity with data ...

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 ...

Yochana

Sr. Python Developer

Richardson, TX · On-site

$110K - $148K/yr

... Scipy, Pandas, Dask, spaCy, NLTK, sci kit learn and PyTorch. • Familiarity with database technologies such as SQL and NoSQL. • Excellent problem solving ability with solid communication and ...

Pyramid Consulting

COMPUTER VISION ENGINEER

Del Valle, TX · On-site

$123K - $145K/yr

Experience with Keras, Numpy, and Scipy highly desirable. Required Education: M.S. in Computer Science, Physics, Electrical Engineering, or Math. Ph.D. preferred. Our client is a leading ...

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 ...

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Scipy information

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How much do scipy jobs pay per hour?

As of Jun 30, 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 can SciPy be used for?

SciPy is a Python library used by data analysts and scientists for scientific computing tasks such as numerical integration, optimization, signal processing, and linear algebra. It provides a collection of algorithms and functions that facilitate data analysis, modeling, and simulation in various technical fields.

Is SciPy or NumPy better?

SciPy and NumPy are complementary Python libraries used in scientific computing; NumPy provides efficient array operations and basic mathematical functions, while SciPy builds on NumPy to offer advanced algorithms for optimization, integration, and more. In a job context, proficiency in both is valuable, with NumPy often serving as the foundation for data analysis and scientific tasks, and SciPy expanding capabilities for specialized computations.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. These jobs often require skills in libraries like SciPy, NumPy, and frameworks like Django or Flask, with many positions emphasizing data analysis, automation, and machine learning expertise.

Are Python coders still in demand?

Python developers, including those skilled in scientific computing with libraries like SciPy, are in high demand across industries such as data analysis, machine learning, and automation. Strong programming skills, knowledge of relevant tools, and experience with data-driven projects increase employability in this field.

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:
What job categories do people searching Scipy jobs look for? The top searched job categories for Scipy jobs are:
Scipy jobs near you
Python Analytics Cloud Developer

Python Analytics Cloud Developer

Samprasoft

Reston, VA • On-site

$52.25 - $72/hr

Other

Posted 12 days ago

Job description

Python Developer / Data Scientist With DevOps And AWS

Onsite role – Once/Twice in a month as on needed basis – Local candidates only, Reston, VA

12+ Months – Extension / Permanent Possible

Job Description

Some Python jobs are running and publishing to business teams

Need to understand how they are running on-prem and then help to move to cloud after understanding how to

They use SageMaker – how model is created and deployed

Majorly model development and deployment related work

How to containerize the app and migrate it to cloud

AWS exp needed – EC2 / SageMaker / CodeDeploy / SNS, etc.

CI/CD Tooling

API Calls

Strong SQL Exp

Python development – from Analytics Standpoint – Pandas/Numpy/Scipy/etc.

Containers exp – Docker / Kubernetes

Analytics Tools – SageMaker/Domino/etc.

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