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

REVOLVE

Senior Data Scientist

Cerritos, CA · On-site

$120K - $150K/yr

Use a diverse skill sets across math and computer science, dedicated to solving complex and ... Proficient in Python, NumPy and other packages * Familiar with statistical and ML methodology ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

... Science, Mathematics, Statistics, Engineering, or related field * Two to five years of experience as a Data Scientist or in a related data analysis role * Proficiency in Python, R, or similar ...

Panasonic

Data Scientist III

Irvine, CA · On-site

... science. * Strong ability to create and deliver effective presentations to multiple audiences. * Advanced expertise using data analytic software such as R, Python, SQL. * Expert knowledge of ...

REVOLVE

Data Scientist

Cerritos, CA · On-site

$90K - $120K/yr

Main purpose of the Data Science Analyst role: Use a diverse skill sets across math and computer ... Proficient in Python, NumPy and other packages * Familiar with statistical and ML methodology ...

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 ...

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How much do python data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python data science in Irvine, CA is $62.92, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $71.49 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

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.

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 strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

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.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, 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 field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
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:
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Python Data Science jobs near you
IT - Technology Lead | Analytics - Packages | Python - Big Data

IT - Technology Lead | Analytics - Packages | Python - Big Data

Spruce Infotech

Irvine, CA • On-site

$149K - $183K/yr

Full-time

Posted 28 days ago

Job description

Job Title* Senior Technology Lead
Work Location : Irvine CA 92618
Vendor Rate* XXX/hr
Contract duration (in months)* 12 Months
Would you require the candidates to meet you for in-person interview? Preferred, but video interview can be okay
Job Details:
Must Have Skills (Top technical skills only) *
1. python
2. AWS
Nice to have skills (Top only)
1. airflow
Detailed job description
• Should have minimum 10+ years of extensive experience in Data Engineering, AWS services, PostgreSQL, Apache Airflow and Docker
• Should have experience in Python , Pyspark, Terraform
• Should have completed IBM Data Science and AI Certified certification
• Should have experience and confidence in leading the team members
• Should have excellent communication and interpersonal skills.
Minimum years of experience*: 10+ years
Certifications Needed: No
Top responsibilities you would expect the Subcon to shoulder and execute*:
1. client coordination
2. code review

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