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Python Data Scientist Jobs in California (NOW HIRING)

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 ...

Data Scientist - Marketing/Advertising LOCATION: San Bruno, CA Duration: 6 to 12+ Months Client ... Strong Python programming * Good statistical background * PhD degree preferred ( not must ) * Past ...

Data Scientist

Sunnyvale, CA ยท On-site

$110K/yr

Required Skills: โ€ข Strong expertise in Python โ€ข Hands-on experience in Data Science, Machine Learning, and Predictive Analytics โ€ข Experience with Pandas, NumPy, Scikit-learn, TensorFlow, or ...

New

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 ...

... 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 ...

Data Scientist

San Francisco, CA ยท On-site +1

$110K - $150K/yr

As a Data Scientist you'll work within cross-functional delivery teams alongside other analysts ... Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic ...

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 ...

Data Scientist

San Francisco, CA ยท 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 ...

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 ...

Data Scientist

San Francisco, CA ยท On-site +1

$110K - $150K/yr

As a Data Scientist you'll work within cross-functional delivery teams alongside other analysts ... Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic ...

Data Scientist

San Francisco, CA ยท 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 ...

Data Scientist

San Francisco, CA ยท On-site +1

$110K - $150K/yr

As a Data Scientist you\'ll work within cross-functional delivery teams alongside other analysts ... Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic ...

... 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

Data Scientist

Irvine, CA ยท On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Develop high-quality, modular Python code for model training and experimentation using libraries ...

Data Scientist

San Francisco, CA ยท On-site

$146K - $172K/yr

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ... Write clean, efficient, and maintainable Python code. Contribute to integrating models into ...

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ... Write clean, efficient, and maintainable Python code. Contribute to integrating models into ...

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 ...

Data Scientist

San Ramon, CA ยท On-site

$93 - $98/hr

Strong command of languages like Python, R, and SQL for data manipulation and model development ... Provides hands-on execution and implementation of data science models. * Translates business ...

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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 Jun 28, 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.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 cities in California are hiring for Python Data Scientist jobs? Cities in California with the most Python Data Scientist job openings:
Infographic showing various Python Data Scientist job openings in California as of June 2026, with employment types broken down into 63% Full Time, 34% Part Time, and 3% Temporary. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.
Senior Data Scientist

Senior Data Scientist

Staffingine LLC

Los Angeles, CA โ€ข On-site

Contractor

Posted 4 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 :ย Python - Data Science