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Python Data Scientist Jobs in California (NOW HIRING)

... as Python; • Understanding of main statistical methods; • Understanding of sampling techniques; • Understanding of descriptive and inferential statistics concepts; • Business domain ...

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 ...

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 ...

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 ...

FindMy Data Scientist

Cupertino, CA · On-site

$141K - $258K/yr

... in Python or Scala) to drive hypothesis generation and support collaborative decision-making with ... data science problems Explore rapidly evolving ML and GenAI techniques, prototyping new approaches ...

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 ...

Data Scientist

San Francisco, CA · On-site

$202K - $230K/yr

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven ... Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical ...

How do you fit in? As a Data Scientist at Fabletics, you will play a key role in developing ... Expect to leverage Python and SQL daily, with larger projects involving Databricks and Airflow for ...

Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j). Create sustainable data science infrastructure and adheres to data ...

How do you fit in? As a Data Scientist at Fabletics, you will play a key role in developing ... Expect to leverage Python and SQL daily, with larger projects involving Databricks and Airflow for ...

Data Scientist

San Francisco, CA · On-site +1

$202K - $230K/yr

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven ... Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical ...

Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a ... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a ... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a ... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j). Create sustainable data science infrastructure and adheres to data ...

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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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:

Data Scientist

Samsung

San Jose, CA • On-site

Full-time

Posted 20 days ago


Job description

Company Description
We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences
Job Description
Required
• Analytical thinking;
• Understanding of statistics fundamentals;
• In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig);
• In-depth knowledge on machine learning methods;
• Experience with scripting languages such as Python;
• Understanding of main statistical methods;
• Understanding of sampling techniques;
• Understanding of descriptive and inferential statistics concepts;
• Business domain experience in one of the following areas: retail, enterprise mobility, healthcare;
Qualifications
• B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required
• M.Sc. / Ph.D degree in related field is desirable.
Additional Information
All your information will be kept confidential according to EEO guidelines.