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Python Data Scientist Jobs in Irvine, CA (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Director

Irvine, CA · On-site

$155K - $410K/yr

... such as Python and C++ to develop and deploy AI models - Managing complex data analysis and ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Irvine, CA

Python Data Scientist information

See Irvine, CA salary details

$40.3K

$131.7K

$210.9K

How much do python data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for python data scientist in Irvine, CA is $131,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $146,000.00 per year, depending on experience, location, and employer.

How much does a Python Data Scientist make?

A Python Data Scientist's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in the United States. Senior roles or those with advanced skills in machine learning and big data tools can earn higher compensation. Certifications and a strong portfolio can also influence salary levels.

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.

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.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.
What are popular job titles related to Python Data Scientist jobs in Irvine, CA? For Python Data Scientist jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Irvine, CA look for? The top searched job categories for Python Data Scientist jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Python Data Scientist jobs? Cities near Irvine, CA with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,746 per year, or $63.3 per hour.

Data Scientist at Tustin Recruiting Fullerton, CA

Selecto Vinos

Fullerton, CA • On-site

$112 - $132/hr

Other

Medical, Dental, Vision, PTO

Posted 3 days ago

New

Job description

Data Scientist job at Tustin Recruiting. Fullerton, CA.

Hey there! If you’re a data wizard with a passion for machine learning and predictive analytics, we might just have the perfect role for you. We’re on the lookout for a Data Scientist to join our team in sunny Fullerton, CA. This isn’t just any gig—it’s an opportunity to dive deep into complex datasets, develop cutting‑edge predictive models, and work side‑by‑side with our business teams to solve real‑world problems. Fullerton offers the perfect blend of career opportunities and a fantastic lifestyle, making it an ideal location for someone looking to grow both professionally and personally.

Key Responsibilities

As our Data Scientist, you’ll get to:

  • Develop and implement machine learning models that drive business insights.
  • Analyze large datasets to extract meaningful insights and create predictive analytics solutions.
  • Build and maintain data pipelines for seamless model deployment.
  • Collaborate with business stakeholders to understand their needs and translate them into technical requirements.
  • Present your findings and insights to executive teams in a clear and compelling way.
  • Optimize model performance and accuracy to ensure we’re always delivering top‑notch results.
  • Maintain detailed documentation of methodologies and processes.
  • Ensure the data we work with is of the highest quality and integrity.
  • Implement and manage A/B testing frameworks to validate model effectiveness.
  • Engage in both independent research and collaborative projects to stay ahead of industry trends.
Required Qualifications

To be successful in this role, you’ll need:

  • A strong programming background in Python and R.
  • Experience with major machine learning frameworks like TensorFlow and PyTorch.
  • Expertise in statistical analysis and data modeling.
  • 3-7 years of hands‑on experience in a Data Science role, particularly within an analytics setting.
  • Excellent communication skills to convey complex information clearly.
  • An MS or PhD in Data Science, Statistics, or a related field.
  • Local familiarity with Fullerton’s business landscape is a plus, as is a knack for navigating the local tech community.
  • Knowledge of big data technologies and proficiency in data manipulation and SQL.
Compensation & Benefits

We believe in rewarding talent, so here’s what you can expect:

  • A competitive salary ranging from $112,000 to $132,000, based on your experience.
  • Comprehensive medical, dental, and vision coverage to keep you healthy and happy.
  • Generous paid time off and holidays, because we know you deserve it.
  • Exciting career advancement opportunities, like transitioning into a Lead Data Scientist or ML Architecture role.
  • Access to ongoing training and certifications to keep your skills sharp and up to date.

If this sounds like your kind of challenge, we’d love to hear from you. Join us in Fullerton and be part of a team that’s making a difference with data!

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