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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 ...

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 ...

Data Scientist

Cupertino, CA · On-site

$141K - $258K/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 ...

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 ...

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 Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... Bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of Client ...

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 ...

... g., 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

We are seeking a Data Scientist who thrives at the intersection of business and engineering ... Strong coding skills in Python or equivalent, including experience with data manipulation libraries ...

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 ...

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 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 ...

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 ...

Data Scientist

San Francisco, CA · 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 ...

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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 6, 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 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.

Is data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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.
What cities in California are hiring for Python Data Scientist jobs? Cities in California with the most Python Data Scientist job openings:

Senior Python Data Scientist

Prophecy Technologies

Los Angeles, CA • On-site

Full-time

Posted 22 days ago


Job description

Role Overview:
The Data Science Engineer will develop scalable ML and Generative AI solutions, specializing in model training, document processing pipelines, and vector search implementations. Strong Python expertise and experience across modern ML and GenAI workflows are essential.
Key Responsibilities:
  • Develop and deploy Machine Learning and Generative AI solutions using Python
  • Design and refine prompt engineering strategies for LLM applications
  • Build document extraction, parsing, and chunking pipelines
  • Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
  • Implement embedding generation and vector search solutions
  • Integrate ML models with vector databases and MongoDB
  • Ensure code quality, scalability, and production readiness

Required Skills:
  • Expert-level proficiency in Python
  • Strong experience with model training, evaluation, and tagging workflows
  • Hands-on experience with document extraction and chunking techniques
  • Solid understanding of ML algorithms and Generative AI concepts
  • Experience with vector databases and/or MongoDB

Qualifications:
  • 8-10 years of experience