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Scientist Python Jobs in Milpitas, CA (NOW HIRING)

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 ...

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 ...

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 ...

LVIS

Research Scientist

Palo Alto, CA

$120K - $140K/yr

Proficiency in Python and hands-on experience with frameworks such as PyTorch, SciPy, Numpy ... of scientists, engineers, and physicians Preferred Qualifications * First-author publications at ...

LVIS

Research Scientist

Palo Alto, CA · On-site

$120K - $140K/yr

Proficiency in Python and hands-on experience with frameworks such as PyTorch, SciPy, Numpy ... of scientists, engineers, and physicians Preferred Qualifications * First-author publications at ...

LVIS

Research Scientist

Palo Alto, CA · On-site

$120K - $140K/yr

Proficiency in Python and hands-on experience with frameworks such as PyTorch, SciPy, Numpy ... of scientists, engineers, and physicians Preferred Qualifications * First-author publications at ...

Apple

Data Scientist

Cupertino, CA

$144K - $263K/yr

... in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in engineering and product management Design, create and validate actionable ...

Sunrise Systems, Inc.

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Title: Senior Data Scientist Job ID: 26-03023 Location: San Ramon, CA Duration: 12 months on W2 ... Python, R, SQL * Statistics, Mathematics & Feature Engineering * Model Development, Evaluation ...

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Scientist Python information

See Milpitas, CA salary details

$43.7K

$143K

$229K

How much do scientist python jobs pay per year?

As of Jul 19, 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.

How do Scientist Python roles 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 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, and why are they important?

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.

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.

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

Senior Software Engineer - Python Numerical Computing Libraries

NVIDIA

Santa Clara, CA • On-site

$142K - $192K/yr

Full-time

Re-posted 16 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Job Summary:
NVIDIA is a leading company in GPU-accelerated computing, and they are seeking a Senior Software Engineer to contribute to the design and development of Python APIs for numerical computing. The role involves optimizing GPU-accelerated implementations and collaborating with product management to enhance performance across various applications.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

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

Year founded

1993

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