ZipRecruiter

Log In

1

Scipy Jobs (NOW HIRING)

Snowrelic Inc

Python Developer

Charlotte, NC · 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 ...

itechstack

Field Design Engineer

Cupertino, CA · On-site

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 ...

Intellisoft Technologies

Python Developer

Austin, TX · On-site

$49.75 - $68.75/hr

NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinx • Ability to quickly learn new technologies and adapt to a fast-paced ...

techgenomics

Python Developer

Houston, TX · 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 ...

Teksoft Systems Inc

Data Scientist

Palm Beach, FL · On-site

Required Skills & Qualifications 8+ years of experience as a Data Scientist / Data Analyst Strong proficiency in Python for data manipulation and analysis Pandas, NumPy, SciPy Solid understanding of ...

techgenomics

Python Developer

Houston, TX · 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 ...

Programmers.io

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

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.

techgenomics

Python Developer

Houston, TX · 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 ...

YO AI Labs

Audio Expert - Remote

Atlanta, GA · Remote

$50 - $100/hr

Familiarity with tools such as librosa, NumPy, SciPy, music21, MuseScore, Essentia, or pretty_midi. * Strong attention to musical and technical accuracy. Relevant expertise matters more than formal ...

New

YO AI Labs

Audio Expert - Remote

Palo Alto, CA · Remote

$50 - $100/hr

Familiarity with tools such as librosa, NumPy, SciPy, music21, MuseScore, Essentia, or pretty_midi. * Strong attention to musical and technical accuracy. Relevant expertise matters more than formal ...

New

YO AI Labs

Audio Expert - Remote

Dallas, TX · Remote

$50 - $100/hr

Familiarity with tools such as librosa, NumPy, SciPy, music21, MuseScore, Essentia, or pretty_midi. * Strong attention to musical and technical accuracy. Relevant expertise matters more than formal ...

New

previous pagenext page

Showing results 21-40

All JobsTechnology JobsScipy Jobs

Scipy information

See salary details

$8

$26

$61

How much do scipy jobs pay per hour?

As of Sep 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.

What is SciPy?

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?

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.

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 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
Infographic showing various Scipy job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Python Developer

Snowrelic Inc

Charlotte, NC • On-site

$49 - $67.75/hr

Contractor

Re-posted 17 days ago

Job description

We are seeking an experienced Python Developer with strong expertise in MongoDB to lead the design, development, and deployment of scalable backend solutions. The ideal candidate will be responsible for guiding a team of developers, architecting robust data models, and building high-performance, secure APIs and microservices leveraging Python and MongoDB. 

Location: Charlotte, North Carolina/ Irving, TX 

Client Interview will be In person (mandatory ) 

Responsibilities: 

  • Develop, enhance, and maintain Python-based banking applications with a focus on clean, efficient, and reliable code. 

  • Design and implement algorithms, data structures, and solutions to optimize application performance. 

  • Build and consume RESTful APIs to facilitate seamless data exchange and integration across banking systems. 

  • Develop web applications using Python frameworks such as Django, Flask, or FastAPI. 

  • 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-functional teams on system design, architecture, and best practices in development. 

  • Implement CI/CD pipelines using Jenkins, GitLab CI, or Circle CI for automated testing and deployment. 

  • Deploy applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. 

  • Engage in troubleshooting, code reviews, and ensuring compliance with banking security standards. 

  • Work with legacy banking systems, migration projects, and modernization efforts. 

Requirements: 

  • Bachelor’s degree in Computer Science, Software Engineering, or related field. 

  • 10+ years of professional experience in Python development, with substantial banking domain exposure. 

  • Strong mastery of Python syntax, data structures, object-oriented programming, and design patterns. 

  • Extensive experience with Python web frameworks such as Django, Flask, or FastAPI. 

  • Proven experience designing and integrating RESTful APIs. 

  • Hands-on knowledge of database systems like SQL Server, Oracle, or similar, and ORM frameworks such as Django ORM or SQLAlchemy. 

  • Familiarity with cloud deployment (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. 

  • Solid understanding of CI/CD practices and tools. 

  • Excellent problem-solving skills, attention to detail, and ability to work under deadlines. 

  • Preferred: Experience working within banking or financial institutions. 

Preferred, but not required: 

  • Knowledge of machine learning libraries such as SciPy, Scikit-learn, TensorFlow. 

  • Experience with legacy banking systems and modernization projects. 

  • Strong communication skills and team collaboration experience. 

  • Agile/Scrum development experience.