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

Pwc

AI & GenAI Data Scientist-Director

Irvine, CA · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... such as Python and C++ to develop and deploy AI models - Managing complex data analysis and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Translate business and operational needs into scalable data science solutions and modeling ... Proficiency in programming languages such as Python and database management including SQL * Strong ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

Translate business and operational needs into scalable data science solutions and modeling ... Proficiency in programming languages such as Python and database management including SQL * Strong ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

Translate business and operational needs into scalable data science solutions and modeling ... Proficiency in programming languages such as Python and database management including SQL * Strong ...

iHerb, LLC

Pricing Data Scientist

Irvine, CA · On-site +1

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

iHerb, LLC

Pricing Data Scientist

Irvine, CA · On-site +1

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

iHerb.com

Pricing Data Scientist

Irvine, CA · On-site +1

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

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How much do python data science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python data science in Irvine, CA is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.59 and $71.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python data science position?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What does a Python data science do?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python data science?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What are the most commonly searched types of Python Data Science jobs in Irvine, CA? The most popular types of Python Data Science jobs in Irvine, CA are:
What are popular job titles related to Python Data Science jobs in Irvine, CA? For Python Data Science jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Irvine, CA look for? The top searched job categories for Python Data Science jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Python Data Science jobs? Cities near Irvine, CA with the most Python Data Science job openings:
Python Data Science jobs near you
Infographic showing various Python Data Science 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 $130,168 per year, or $62.6 per hour.

Senior Data Scientist (Onsite)

West Coast University, Inc.

Irvine, CA • On-site

Full-time

Re-posted 12 days ago

West Coast University rating

6.5

Company rating: 6.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

511th of 616 rated colleges and universities

Job description

Choose To Make A Difference
Summary
Reporting to the Executive Director Analytics and Reporting, the Senior Data Scientist provides analytical guidance and support to organizational decision makers via analysis, interpretation, and modeling of data. Leverages critical thinking and problem-solving skills to extract valuable business insights. Supports the entire analytics lifecycle including requirements gathering, problem formulation, solution design, analytical modeling, and presenting findings. Develops algorithms to extract and leverage insights from data to optimize organizational opportunities. Supports the deployment and implementation of analytical solutions with constant performance monitoring. Utilizes AI to development solutions more efficiently and explore previously inaccessible data.
Possesses a passion for applying data and analytics while consistently developing personal and organizational capabilities. Aids the organization to consistently be more data-driven and seek actionable insights. Tells a story with data by finding relationships, drawing conclusions, and making recommendations. Develops predictive models and prescriptive solutions to help maximize student success for all students. Possesses an innate ability to apply a champion-challenger approach throughout the analytics lifecycle. Mines complex data to create statistical models, reports/visualizations, machine learning models, and identify champion predictive models for deployment. This role is expected to leverage AI-enabled and agentic coding tools to enhance analytical productivity, accelerate development, improve model evaluation, and support high-quality, well-documented analytical solutions. May provide guidance to Data Scientist(s).
Essential Functions & Responsibilities
  • Design and write programs and algorithms to train, test and develop complex analysis, predictive models, and detailed insights using Python, R, SPSS Modeler, SAS, and other appropriate best practice tools. Perform ad hoc requests to provide supervised and unsupervised analysis on student academic and success data, recruitment and enrollment data, state board pre-licensure exams, financial and operational data, and other efforts as assigned.
  • Analyzes enterprise-wide data to understand behaviors and trends. Applies iterative process of analyze, test, learn, pivot or scale approach to analytical solutions. Develops and maintains predictive models to support prescriptive solutions including machine-learning algorithms. Applies both supervised and unsupervised methods to discover hidden insights within data.
  • Interprets data using statistical techniques to analyze results and present output. Presents information using data visualization techniques and software. Distills complex data sets into a narrative that optimizes organizational outcomes while applying the art of storytelling. Proposes solutions and strategies to solve business opportunities. Monitors deployed solutions to ensure degradation and issues are proactively identified.
  • Query, extract and mine necessary large data from Oracle CVUE database, CRM, IR&A Data Warehouse, College Board, IPEDS, National Student Clearing House, Common Dataset, and other utilities and sources. Be a champion of rigorous data integrity and collection across the institution.
  • Utilizes AI-assisted and agentic development tools (e.g., Claude Code or similar solutions) to improve data evaluation, code development, model testing, and documentation while maintaining rigorous standards for accuracy, governance, and security.
  • Collaborates with key stakeholders.
  • Adheres to University policies and procedures and conducts job responsibilities in accordance with the standards set out in the University's Code of Ethical Conduct, Compliance Agreement, Sexual Harassment Policy or any of its policies and procedures, applicable federal and state laws, and applicable professional standards.
  • Maintains regular and timely attendance, reports to work as scheduled and assures time worked and/or time-off is recorded properly.
  • Maintains confidentiality of all student, associate, and/or University information as required.
  • Exercises care, proper use and maintenance of department equipment and supplies and identifies unsafe conditions and makes appropriate adjustments.
  • Maintains order, cleanliness, and safety at work.
  • Performs other duties as assigned.

Minimum and Preferred Qualifications
  • Bachelor's degree in data science, statistics, economics, mathematics, engineering, or a related quantitative field required.
  • Master's degree or higher in data science, statistics, economics, mathematics, engineering, or a related quantitative field strongly preferred.

Experience & Skills
  • 3+ year's experience developing, deploying, and implementing predictive models required.
  • 5+ year's experience in a data science or advanced analytics role preferred.
  • Experience and working knowledge of model design, data analysis, exploratory quantitative methods feature/variable creation, model development, analytical solution implementation, and explainable advanced analytics methods.
  • Demonstrated experience with hypothesis testing to ensure limitations and assumptions are either validated or minimized.
  • Demonstrated experience and working knowledge of relational databases and database query tools (SQL Server or similar).
  • Demonstrated experience and working knowledge of LLM.
  • Demonstrated ability to leverage AI-assisted and agentic coding tools to improve technical workflows, including code development, debugging, testing, documentation, and model evaluation.
  • Ability to critically assess, validate, and refine AI-generated code and analytical outputs to ensure statistical rigor, reproducibility, security, and alignment with organizational standards.
  • Demonstrated experience with cloud environments including Azure, AWS, Google cloud, etc.
  • Demonstrated experience with advanced analytic methods including machine learning techniques such Gradient Boosting, Random Forest, Neural Networks, Clustering, PCA, NLP, etc.
  • Experience creating data visualizations using Power BI, Tableau, or similar applications.
  • Proficiency using Python, or similar languages.
  • Ability to use excellent organizational and analytical skills to self-direct, self-pace, multi-task, and function well under pressure of deadlines and conflicting priorities.
  • Ability to gather data from multiple resources and synthesize information for analysis purposes.
  • Ability to translate business needs into actionable requirements for developing appropriate solutions.
  • Ability to simplify complexity for non-analytical and non-technical audiences.
  • Ability to prioritize and perform multiple tasks simultaneously.
  • Ability to effectively communicate, written and orally.
  • Strong Excel skills.

#LI-MR1
CA Salary Range
USD $138,230.12 - USD $200,406.07 /Yr.
Bonus Eligible
Yes
WCU Company Overview
Do you want a career that allows you to make a difference in other people's lives? Discover what it means to truly believe in the work that you do at West Coast University.
At West Coast University, we have the privilege of educating students seeking careers in healthcare and guide them through their transformational journey from student to caregiver. Our associates are united behind that purpose and share a deep commitment to our values of teamwork, collegiality, transparency, and a student-centric approach to all we do. This focus creates an aligned, nimble, and consensus-driven culture that is solution-oriented and supports our associates' professional growth.
WCU EEO Statement
West Coast University is proud to be an equal opportunity employer. We embrace diversity and are dedicated to creating an inclusive environment for all associates.

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