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Python Data Scientist Jobs in California (NOW HIRING)

Namely

Senior Data Scientist

Mountain View, CA · On-site

$120 - $160/hr

Build and deploy machine learning models using Python and relevant frameworks, focusing on ... Demonstrated expertise in BI, data science, and deployment of AI/ML models in business environments ...

Socket.dev

Data Scientist

San Bruno, CA · On-site

$126.60 - $211/hr

D. in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, Operations ... Python or R for statistical analysis and algorithms; and Explaining statistical concepts ...

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 ...

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 ...

Boot Barn

Data Scientist

Irvine, CA · On-site

... Python code for model training and experimentation using libraries and frameworks such as pandas ... to data science best practices, model documentation, and the creation of reusable modeling ...

Samsung

Data Scientist

San Jose, CA

Company Description We are seeking a data scientist with at least 1 year of experience working with ... Experience with scripting languages such as Python; Understanding of main statistical methods;

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 ...

1872 Consulting

Lead Data Scientist

San Francisco, CA · On-site

SAS, R, Python) * 3-5+ years experience in business and data analytics after graduation * BS or MS degree in Statistics, Math, Data Science, CS or related discipline Nice-to-have: * Hands-on ...

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 ...

1872 Consulting

Lead Data Scientist

San Francisco, CA · On-site

SAS, R, Python) * 3-5+ years experience in business and data analytics after graduation * BS or MS degree in Statistics, Math, Data Science, CS or related discipline Nice-to-have: * Hands-on ...

Rox Data Corp

Data Scientist (Growth)

San Francisco, CA · On-site

$100 - $140/hr

Role As a Data Scientist at Rox, you will power the intelligence layer behind the world's first ... Strong SQL and Python skills, able to work efficiently with large, messy datasets * Experience ...

CLARA analytics

Data Scientist

Santa Clara, CA

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 ...

Socket.dev

Data Scientist

San Francisco, CA · On-site

$120 - $220/hr

Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ... You\'re analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are ...

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 ...

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 ...

Mayvin, Inc

Data Scientist III

San Diego, CA · On-site

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 Aug 12, 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 varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in the United States. Senior roles or those with advanced skills in machine learning and big data tools can earn higher compensation. Certifications and a strong portfolio can also influence salary levels.

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.

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.

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.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.
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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Senior Data Scientist

Namely

Mountain View, CA • On-site

$120 - $160/hr

Other

Posted 6 days ago

Job description

We are searching for a skilled Senior Data Scientist/Engineer to help fuel our team's data-driven impact. The ideal candidate is passionate about leveraging data to solve complex business problems, has hands‑on experience across the modern data engineering and data science stack, and contributes as a dependable, collaborative team member.

Responsibilities
  • Partner across business functions to drive actionable insights and impactful data solutions through clear communication and storytelling.
  • Design and develop comprehensive dashboards, analytics pipelines, and machine learning models to support critical business objectives.
  • Implement and optimize data workflows using Snowflake (including features like Cortex, Intelligence, Horizon, and Snowpipe).
  • Build and deploy machine learning models using Python and relevant frameworks, focusing on applications such as predictive analytics, recommendation engines, and automation.
  • Collaborate with engineering and analytics teams to drive experimentation, feature engineering, model evaluation, and deployment processes.
  • Write scalable and efficient SQL to analyze and transform data; construct trusted datasets and data products in Snowflake.
  • Build and deploy workflow automations using Python.
  • Mentor junior team members, review their work, and ensure delivery quality and reliability.
  • Translate evolving business requirements into effective data solutions to enable strategic and tactical decision making.
  • Champion data quality and governance, addressing issues proactively and maintaining high data standards.
  • Empower business users to access data and insights through modern self-service tools.
Qualifications
  • Excellent communication skills; experience collaborating across business and technical teams.
  • Demonstrated expertise in BI, data science, and deployment of AI/ML models in business environments.
  • 6+ years of hands‑on experience in data analysis, engineering, and visualization.
  • 2+ years of strong hands‑on experience with Snowflake, including in-depth exposure to Snowflake Cortex, Snowflake Intelligence, Horizon, and Snowpipe.
  • Proficiency with Python and/or R for data analysis, model building, and pipeline automation.
  • Certification in Snowflake or AI/ML technologies is a plus.
  • Familiarity with MLOps, cloud platforms, and deploying ML models at scale.
  • Solid understanding of data warehousing, ETL processes, and building scalable data products.
  • Exposure to various tools across the modern data engineering and data science ecosystem.
  • Bachelor’s degree in Computer Science, Data Science, or a related discipline (advanced degrees or relevant certifications add an advantage).
  • A dependable attitude—committed, collaborative, and motivated to help the team succeed.
Additional Skills
  • Skills in dbt, Fivetran, Airflow, or similar ETL/data orchestration tools.
  • Exposure to predictive analytics in domains such as customer analytics, finance, customer service, or revenue modeling.
  • Familiarity with GenAI, LLMs, or vector databases for innovative enterprise use cases.
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