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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 ...

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 ...

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 ...

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 ...

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

$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 ...

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

Mazda Motor Corporation

Data Scientist

Irvine, CA · On-site +1

The Data Scientist is responsible for mining big data, interpreting and analyzing highly complex ... Programming experience (Python, R, SQL). * at least one year of experience working with senior ...

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 ...

Boot Barn

Data Scientist

Irvine, CA · 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 ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · 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 ...

Boot Barn

Data Scientist

Irvine, CA · 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 ...

Waymo

Data Scientist

San Diego, CA

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

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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

$193.9K

How much do python data scientist jobs pay per year?

As of Jul 22, 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.
Senior Data Scientist

Senior Data Scientist

Staffingine LLC

Los Angeles, CA • On-site

Contractor

Posted 28 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