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Python Data Scientist Jobs in California (NOW HIRING)

Staffingine LLC

Senior Data Scientist

Los Angeles, CA · On-site

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

Swayable

Research Data Scientist

San Francisco, CA · On-site

Required : • Fluency in the python data science stack • Expertise in statistical, analytical, and data science methods • Excellent communication and data visualization skills • Ability to ...

Find Data Science

Data Scientist

San Francisco, CA

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Strong proficiency in programming languages such as Python or R. * Experience with data ...

Far Coder

Data Scientist

Oakland, CA · On-site

$175.35 - $214.32/hr

The role typically involves technologies such as SQL, Python, REST, machine learning, ab testing, data science.## Key Responsibilities* The Data Scientist at Earnest LLC in Oakland, CA will guide ...

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 ...

Samba

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

Write and own production‑quality Python code end‑to‑end -- well‑structured, tested ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

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 ...

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

Write and own production-quality Python code end-to-end - well-structured, tested, documented, and ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

247Hire

Data Scientist

Los Angeles, CA · On-site

$120 - $160/hr

Overview - add details here Summary We're looking for a Senior Data Scientist with a strong ... Strong skills in Python and common ML libraries (e.g., scikit-learn, XGBoost, pandas) * Familiarity ...

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and ...

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

Write and own production-quality Python code end-to-end - well-structured, tested, documented, and ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

Write and own production-quality Python code end-to-end -- well-structured, tested, documented, and ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

Aven

Data Scientist

Campbell, CA · On-site

Job Summary : Aven is seeking a seasoned Data Scientist to collaborate closely with cross ... Python) and SQL • Theoretical and applied expertise in statistics, machine learning and ...

Aven

Data Scientist

Campbell, CA · On-site

Job Summary : Aven is seeking a seasoned Data Scientist to collaborate closely with cross ... Python) and SQL • Theoretical and applied expertise in statistics, machine learning and ...

Apple

Data Scientist

Cupertino, CA · On-site

... Python, Scala, Java) Proficient in at least one database language (e.g., SQL) Capable of ... data scientists and leading projects of varying sizes and scopes

OpenArt AI

Data Scientist

San Francisco, CA · On-site

$110 - $150/hr

Data Scientist OpenArt is an AI Storytelling and Visual Creation Platform used by millions ... Expert SQL and strong Python skills. * Deep understanding of statistical analysis, experimentation ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

They are looking for a talented Data Scientist to analyze large datasets, develop predictive models ... such as Python or R • Experience with machine learning algorithms and statistical modeling ...

Socket.dev

Data Scientist

Folsom, CA · On-site

$100 - $150/hr

Use Python, Pandas, PySpark, and SQL to clean, transform, validate, and analyze robotics inspection ... Minimum Qualifications * Bachelor's degree in Data Science, Computer Science, Engineering ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in California

Python Data Scientist information

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$37K

$121.1K

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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

Staffingine LLC

Los Angeles, CA • On-site

Contractor

Re-posted 18 days ago

Job description

Job Title: Senior Data Scientist
Job Location: Los Angeles - California - USA
Job Type: Contract

Job Description:

  1. Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes
  2. Perform exploratory data analysis to identify patterns trends and opportunities for business improvement
  3. Collaborate with stakeholders to define key performance indicators and success metrics
  4. Optimize existing data science workflows and models for better performance and accuracy Document methodologies code and findings to ensure reproducibility and knowledge sharing
  5. Support the integration of data science solutions into production environments
  6. Drive continuous improvement initiatives by evaluating new tools and technologies relevant to Python and data science

Skills

Mandatory Skills : Python - Data Science