1

Scientist Python Jobs in Santa Clara, CA (NOW HIRING)

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 ...

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 ...

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 ...

Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer ...

Spark Tek Inc is seeking a highly skilled Data Scientist to play a crucial role in supporting ... use Python or R to work efficiently at scale with large data sets. • Proficiency in SQL. • ...

Research Scientist

Palo Alto, CA · On-site

$120 - $140/hr

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

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 ...

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 ...

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 ...

... 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 ...

Showing results 41-60

Scientist Python information

See Santa Clara, CA salary details

$44K

$144.1K

$230.8K

How much do scientist python jobs pay per year?

As of Sep 5, 2026, the average yearly pay for scientist python in Santa Clara, CA is $144,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $159,700.00 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 job categories do people searching Scientist Python jobs in Santa Clara, CA look for?

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

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

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

Infographic showing various Scientist Python job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $144,149 per year, or $69.3 per hour.

Software Engineer (Python / LabVIEW / DAQ)

Pransu Tech Solutions

Cupertino, CA • On-site

Other

Re-posted 29 days ago


Job description

Job Description Software Engineer (Python / LabVIEW / DAQ)

Location: Cupertino, CA (Onsite)

Duration: 6 12 Months

Position Overview

We are seeking an experienced Software Engineer with 10 15 years of experience in developing and maintaining data acquisition and test automation software for hardware validation and reliability testing environments. The ideal candidate will have strong expertise in Python, LabVIEW, DAQ systems, and hardware/software integration, with experience supporting life-cycle testing, display measurement systems, and automated test platforms.

This role involves developing new software solutions, modernizing legacy LabVIEW applications by migrating them to Python, supporting display life-test systems, and collaborating closely with hardware and reliability engineering teams.

Key Responsibilities

Develop and maintain data acquisition software for Life Test Standard Operating Procedures (SOPs) and specialized prototype test boards.

Convert and modernize legacy LabVIEW-based applications, tools, and scripts into Python-based solutions.

Support software development for early prototype display life-testing systems.

Adapt and enhance existing display measurement station software for reliability testing applications.

Interface with DAQ hardware to automate the collection of electrical, optical, and environmental test data.

Perform software validation, debugging, troubleshooting, and testing in hardware lab environments.

Collaborate with cross-functional teams including hardware, reliability, and test engineering groups to define and implement software solutions.

Create and maintain technical documentation, including system architecture diagrams, user guides, software design documents, and test procedures.

Ensure compliance with development standards, coding guidelines, and software quality requirements.

Required Qualifications

Bachelor's degree in electronic engineering, Computer Engineering, Computer Science, or a related technical discipline.

10 15 years of software development experience.

Strong hands-on experience with Python development.

Strong experience with LabVIEW development and maintenance.

Experience with Data Acquisition (DAQ) systems and hardware interfacing.

Experience with serial communication protocols and instrument communication.

Experience working with display measurement systems, test stations, or hardware validation platforms.

Proficiency with Unix/Linux command-line tools.

Experience with Git or other version control systems.

Strong troubleshooting, debugging, and problem-solving skills.

Excellent written and verbal communication skills.

Preferred Qualifications

Experience with NI TestStand.

Knowledge of C and C++ for automation or integration projects.

Experience with hardware validation, reliability engineering, NPI, or manufacturing test systems.

Experience with Automated Test Equipment (ATE).

Familiarity with SVN and other source control systems.

Exposure to CI/CD pipelines and automated software deployment practices.

Experience working with Apple Radar, Signals, or similar engineering workflow tools.