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Python Data Scientist Jobs in California (NOW HIRING)

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Expertise in Python and packages such as numpy, pandas, scikit-learn * Experience with a deep ... Experience applying data science and machine learning to real-world problems * Bachelor's degree or ...

Samsung

Data Scientist

San Jose, CA · On-site

... as Python; • Understanding of main statistical methods; • Understanding of sampling techniques; • Understanding of descriptive and inferential statistics concepts; • Business domain ...

YO AI Labs

Data Scientist

Glendale, CA

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL Technical Responsibilities : * Design and Execute Experiments: Lead end-to-end A/B testing ...

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) * Experience defining research ... A passion for data science and problem-solving in general * Self-driven individual who can take a ...

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

Expertise in Python and packages such as numpy, pandas, scikit-learn * Experience with a deep ... Experience applying data science and machine learning to real-world problems * Bachelor's degree or ...

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) * Experience defining research ... A passion for data science and problem-solving in general * Self-driven individual who can take a ...

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

As a Data Scientist at Walmart, the mammoth scale and volume of our global data are virtually ... Python, R, SQL, Spark, Hive, etc.). • Experienced with traditional as well as modern machine ...

Apple

FindMy Data Scientist

Cupertino, CA

$144K - $263K/yr

... in Python or Scala) to drive hypothesis generation and support collaborative decision-making with ... data science problems Explore rapidly evolving ML and GenAI techniques, prototyping new approaches ...

Amgen

Data Scientist

Thousand Oaks, CA · On-site

Experience with Python, R, or related analytical programming languages. * Understanding of data ... science to serve patients. Together, we compete in the fight against serious disease. Amgen is an ...

Maxonic, Inc.

Data Scientist

Santa Clara, CA · On-site

Data Scientist Job Type: Fulltime Job Location: Santa Clara, CA Work Schedule: Hybrid 4 days onsite ... Strong proficiency in Python programming language. * Experience with data analysis and ...

Earnest Co

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Data Scientist Duties: * The Data Scientist at Earnest LLC in Oakland, CA will guide product ... SQL, Python, and R for data analysis, modeling, and automation; (3) product analytics and ...

GTT, LLC

Principal Data Scientist

Oakland, CA · Hybrid

$150 - $157/hr

Data Scientist, Principal Location: Oakland, CA Onsite Flexibility: Hybrid Onsite ~1 day per week ... Development of predictive models using Python or PySpark and executed in Foundry or AWS.

New

Quince

Data Scientist, Storefront

Palo Alto, CA · On-site

THE ROLE Data Scientist, Storefront We are seeking a highly analytical and technical Data Scientist ... Create new relevance ranking features, build automated end-to-end modeling pipelines in Python and ...

Mayvin, Inc

Data Scientist III

San Diego, CA

Experience using Python and R with common data science libraries * Experience with data mining, statistics, or graph algorithms * Experience with SQL, NoSQL, API development, ETL pipelines, web ...

Mayvin

Data Scientist III

San Diego, CA · On-site

$125K - $207K/yr

Experience using Python and R with common data science libraries * Experience with data mining, statistics, or graph algorithms * Experience with SQL, NoSQL, API development, ETL pipelines, web ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in California

Python Data Scientist information

See California salary details

$37K

$121.1K

$193.9K

How much do python data scientist jobs pay per year?

As of Jul 23, 2026, the average yearly pay for python data scientist in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

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

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in California? For Python Data Scientist jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in California look for? The top searched job categories for Python Data Scientist jobs in California are:
What cities in California are hiring for Python Data Scientist jobs? Cities in California with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.
Data Scientist

Data Scientist

Fullpower Technologies

Santa Cruz, CA • Remote

$130K - $170K/yr

Full-time

Posted 4 days ago

Job description

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:

  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:

  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:

  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:

  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.
Employment Type: Full-Time

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