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Scientist Python Jobs in Milpitas, CA (NOW HIRING)

Saige Partners

Python Software Engineer

San Jose, CA

$50 - $70/hr

Python Software Engineer (San Jose, CA) Job Overview: We are seeking a Software Engineer to help ... Required Bachelor's degree in Computer Science, Software Engineering, or a related field, or ...

Evolver

Senior Python Developer

Palo Alto, CA · Hybrid

$142K - $192K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Mandatory Technical Skills: * Mastery of Python. (We'll test you.) * Strong understanding of backend and API ...

Evolver

Senior Python Developer

Palo Alto, CA · On-site

$142K - $192K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Mandatory Technical Skills: * Mastery of Python. (We'll test you.) * Strong understanding of backend and API ...

Evolver

Senior Python Developer

Palo Alto, CA · Hybrid

$142K - $192K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Mandatory Technical Skills: * Mastery of Python. (We'll test you.) * Strong understanding of backend and API ...

Echo IT Solutions

Python AI

Santa Clara, CA · On-site

$164K - $201K/yr

Required : • Bachelor's degree in Computer Science, Engineering, or a related field. • 6-12 ... Python and .NET application development. • Experience leading or contributing to application ...

Info Way Solutions

Python with ETL/ML

Fremont, CA · On-site

$55.25 - $76/hr

Required : • A background in computer science with a minimum of 2 years professional experience • Strong Python/Java programming skills • Experience in implementing data pipelines using python ...

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Qualifications for Data Scientist Strong problem solving skills with an emphasis on product ... Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * Technical Skills: * Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. * Familiarity ...

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Scientist Python information

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$43.7K

$143K

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How much do scientist python jobs pay per year?

As of Sep 6, 2026, the average yearly pay for scientist python in Milpitas, CA is $143,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $158,500.00 per year, depending on experience, location, and employer.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

How does a Scientist Python typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

What are 10 careers related to Python?

A Python-focused scientist can pursue careers such as data scientist, machine learning engineer, data analyst, software developer, automation engineer, research scientist, bioinformatics specialist, quantitative analyst, AI engineer, and backend developer. These roles often require strong programming skills, knowledge of libraries like NumPy and Pandas, and experience with data analysis or software development environments.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, and may require experience with data analysis, modeling, and cloud platforms. Strong programming skills and relevant certifications can improve job prospects in this field.

What are popular job titles related to Scientist Python jobs in Milpitas, CA?

For Scientist Python jobs in Milpitas, CA, the most frequently searched job titles are:

What job categories do people searching Scientist Python jobs in Milpitas, CA look for?

The top searched job categories for Scientist Python jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Scientist Python jobs?

Cities near Milpitas, CA with the most Scientist Python job openings:

Scientist Python jobs near you

Senior Software Engineer - Python Numerical Computing Libraries

Nvidia

Santa Clara, CA

$142K - $192K/yr

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are looking for an experienced software professional to contribute to design and development of accelerated and distributed implementations of Python APIs for numerical computing. In the last decade, Python has become the de-facto programming language for practitioners in AI, data science and HPC, through popular frameworks such as NumPy, SciPy, TensorFlow and PyTorch. These frameworks provide an efficient high-level programming interface, allowing their users to focus on their application while providing highly optimized implementations. NVIDIA has been at the forefront of providing GPU-accelerated implementations of the fundamental components of these frameworks.

Join our dynamic team to help develop and optimize GPU-accelerated and distributed implementations of Python numerical libraries, supporting Python-based frameworks in various ecosystems. This developer will be a crucial member of a team that is working to unlock the power of distributed GPU computing for domains such as scientific computing, data analytics, deep learning, and professional graphics, running on hardware ranging from supercomputers to the cloud!

What you will be doing:

  • Work closely with product management and internal or external partners, to understand use cases and requirements, and contribute to the technical roadmaps of libraries

  • Architect, prioritize, and develop accelerated and distributed implementations of numerical algorithms

  • Design future-proof Python APIs for accelerated numerical/scientific computing libraries

  • Analyze and improve the performance of developed APIs on various CPU and GPU architectures, especially as a part of customer-critical end-to-end workflows

  • Prototype integrations of developed APIs into targeted frameworks

  • Write effective, maintainable, and well-tested code for production use

  • Contribute to the development of runtime systems that underlay the foundation of multi-GPU computing at NVIDIA

What we need to see:

  • BS, MS or PhD degree in Computer Science, Applied Math, Electrical Engineering or related field (or equivalent experience)

  • 6+ years of relevant industry experience or equivalent academic experience after BS

  • Excellent Python, C++ and CUDA programming skills

  • Strong understanding of fundamental numerical methods, dense and sparse array computing

  • Deep familiarity with Python numerical computing libraries (e.g. NumPy, SciPy), including accelerated implementations (e.g. CuPy, Jax.NumPy, NumS, cuNumeric)

  • Experience developing and publishing Python libraries, following standard methodologies for pythonic API design

  • Strong background with parallel programming and performance analysis

Ways to stand out from the crowd:

  • Experience using/contributing to Python libraries for data science (e.g. Pandas), machine learning (e.g. scikit-learn) and deep learning (e.g. TensorFlow, PyTorch)

  • Experience with low-level GPU performance optimization

  • Experience building, debugging, profiling and optimizing distributed applications, on supercomputers or the cloud

  • Background with tasking or asynchronous runtimes

  • Background on compiler optimization techniques, and domain-specific language design

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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