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Python Data Scientist Jobs in California (NOW HIRING)

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Role Summary As a Data Scientist, you will support the development of analytical models ... Use Python or R to automate analyses and develop reproducible analytical workflows. * Leverage AI ...

OpenArt AI

Data Scientist

San Francisco, CA · On-site +1

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

OpenArt

Data Scientist

San Francisco, CA · On-site

$300K - $400K/yr

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

YO AI Labs

Data Scientist

Glendale, CA

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL Qualifications: * Bachelors in Statistics, Economics, Computer Science, Engineering ...

Embedding VC

Data Scientist

Redwood City, CA · On-site +1

First Data Scientist hire in the US -- set the bar, shape the function, and build the foundation of ... Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation ...

Embedding VC

Data Scientist

Redwood City, CA · On-site

First Data Scientist hire in the US - set the bar, shape the function, and build the foundation of ... Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Proficient in machine learning and data mining packages in R, Python, or Weka. * Experience working ...

Sunrise Systems, Inc.

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Title: Senior Data Scientist Job ID: 26-03023 Location: San Ramon, CA Duration: 12 months on W2 ... Python, R, SQL * Statistics, Mathematics & Feature Engineering * Model Development, Evaluation ...

(unknown company)

Data Scientist

Sunnyvale, CA

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer ... Java, Scala, C/C++. - Knowledge of one of the scripting languages such as Python or Perl ...

Cypress HCM

Data Scientist

San Jose, CA

$105.63/hr

Data Scientist Job Details * Data Scientist (Contract) * Location: San Jose CA 95110 (Hybrid ... Experience with Python, R or any other scripting language. * Experience with one or more data ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer ... Java, Scala, C/C++. - Knowledge of one of the scripting languages such as Python or Perl ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the ... Comfortable with Python, Flask/Django, Pandas and Numpy * Demonstrated ability to pick up new ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the ... Comfortable with Python, Flask/Django, Pandas and Numpy * Demonstrated ability to pick up new ...

Covalent Corp.

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Role Overview We are seeking a Data Scientist to work at the intersection of laboratory science and ... Hands-on data analysis using Python, SQL, or similar tools * Working with experimental, instrument ...

Boot Barn

Data Scientist

Irvine, CA · On-site

... Python code for model training and experimentation using libraries and frameworks such as pandas ... to data science best practices, model documentation, and the creation of reusable modeling ...

Earnest

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Data Scientist Duties: * The Data Scientist at Earnest LLC in Oakland, CA will guide product ... SQL, Python, and R for data analysis, modeling, and automation; (3) product analytics and ...

Samsung

Data Scientist

San Jose, CA

Company Description We are seeking a data scientist with at least 1 year of experience working with ... Experience with scripting languages such as Python; Understanding of main statistical methods;

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in California

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 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.

Data Scientist

Fanatics Collectibles

Los Angeles, CA • On-site

Full-time

Posted 21 days ago

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators.
Role Summary
As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely with senior data scientists, product managers, engineers, and analysts, you will apply statistical methods and machine learning techniques to analyze data, uncover insights, and contribute to data-driven product improvements.
This role is ideal for someone early in their data science career who is eager to expand their technical skills while gaining experience in a fast-paced, product-focused environment.
What You'll Do
  • Partner with Product, Engineering, and Analytics teams to understand business questions and support data-driven decision making.
  • Build, validate, and maintain analytical models and data pipelines under the guidance of senior team members.
  • Perform statistical analyses and exploratory data analysis to identify trends, patterns, and opportunities.
  • Support A/B testing initiatives by assisting with experiment design, data validation, statistical analysis, and communicating results.
  • Develop dashboards and reports using tools such as Sigma or Looker to help stakeholders monitor product performance and key business metrics.
  • Write efficient SQL queries and work with cloud-based data warehouses such as Snowflake or BigQuery to prepare and analyze data.
  • Use Python or R to automate analyses and develop reproducible analytical workflows.
  • Leverage AI-assisted development tools (such as Claude or OpenAI) and engineering platforms (GitHub, Airflow) to improve productivity and collaboration.
  • Collaborate with senior data scientists to improve existing models and analytical processes while continuing to build technical expertise.
  • Clearly communicate analytical findings and recommendations to technical and non-technical stakeholders.
What You'll Need
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative field, or equivalent practical experience.
  • 1-3 years of experience in data science, analytics, or a related quantitative role.
  • Working knowledge of SQL and experience querying large datasets.
  • Proficiency in Python or R for data analysis.
  • Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design.
  • Familiarity with machine learning concepts and common libraries such as scikit-learn.
  • Strong analytical thinking, curiosity, and willingness to learn new technologies.
  • Excellent communication and collaboration skills.
Bonus Qualifications
  • Master's degree in a quantitative discipline.
  • Experience with business intelligence tools such as Sigma, Looker, or Tableau.
  • Exposure to cloud data platforms including Snowflake or BigQuery.
  • Coursework or practical experience with machine learning, forecasting, or experimentation.
  • Experience working in consumer technology, e-commerce, marketplaces, or digital products.
  • Familiarity with behavioral analytics platforms such as Mixpanel, Amplitude, or Google Analytics.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/
Los Angeles Salary Range
$122,040-$152,550 USD
The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/
NYC Salary Range
$135,000-$168,750 USD
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